aliases list | alignment_disposition string | benchmark_case_id string | benchmark_track string | claim_uid string | contract dict | contract_sha256 string | migration_status string | modality string | pre_v2_contract_sha256 string | provenance list | question string | question_sha256 string | reference_id string | scientific_core_sha256 string | semantic_cluster_id string | target_family string | task_ids list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"external_nacc_ad_hippocampus_random_label_s20260722",
"external_nacc_mci_hippocampus_random_label_s20260730",
"ncb-external-transfer-1e7fffb19e2ebfda"
] | aligned_with_safety_augmentation | ncb-external-transfer-045d9f98883becc4 | external_transfer | ncb-claim-e63a7a4e2026e14d | {
"claim_id": "external_nacc_ad_hippocampus_random_label_s20260722",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
"out... | 5c6725bb518a0b2f7e58e59b9e2de9354f511e20faa3eeb3745287d8e1e08a60 | ready | sMRI | 5c6725bb518a0b2f7e58e59b9e2de9354f511e20faa3eeb3745287d8e1e08a60 | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260722",
"source_collection": "external_nacc_random_controls",
"source_id": "external_nacc_ad_hippocampus_random_label_s20260722",
"source_mode": "external_random_control",
"source_path": "data/exter... | Random-label control matched to external_nacc_ad_hippocampus. | 9ff82d1726626a908a10176c3ad1d3587947a0a721a1490daa79825c2506dd29 | ncb-external-transfer-045d9f98883becc4 | 39bb8cf39d712d120787f019e0f6eef696bbbfb8f1595538fc3129a63238d998 | ncb-sem-e63a7a4e2026e14d | ad_aging | [
"ncb21-task-d2d7116561bfb23f"
] |
[
"ad_wholebrain"
] | aligned_with_safety_augmentation | ncb-external-transfer-092cd51bcb5448d7 | external_transfer | ncb-claim-78a50c505bf809c7 | {
"claim_id": "external_nacc_ad_wholebrain",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_wholebrain",
"predic... | 092cd51bcb5448d733b56f9f575e9408342772b0c4744746991ea25c18cddf68 | ready | sMRI | 092cd51bcb5448d733b56f9f575e9408342772b0c4744746991ea25c18cddf68 | [
{
"prior_label": "known_positive",
"source_citation": "AD global brain atrophy",
"source_collection": "external_nacc",
"source_id": "ad_wholebrain",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_wholebrain negative for AD compared with CN? | bd3ddaf56e9032d6155c6041b4ff21d5664b86d3a079c7447fdf3361cbda933d | ncb-external-transfer-092cd51bcb5448d7 | 886116f9783d4ba77603282fac2bcce7ee5d7f6ed35310f9881c945ed0c1ce9a | ncb-sem-78a50c505bf809c7 | ad_aging | [
"ncb21-task-4cedbea84f9b30c0"
] |
[
"mci_cerebellum"
] | aligned_with_safety_augmentation | ncb-external-transfer-12f6919745623d9a | external_transfer | ncb-claim-8df3c520b912b075 | {
"claim_id": "external_nacc_mci_cerebellum",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "MCI",
"control": "CN",
"var": "dx"
},
"outcome": "smri_cerebellum",
"pred... | 12f6919745623d9ae92aec900c1af98d80fb2e7cad3c02d62f5620f74c97dca7 | ready | sMRI | 12f6919745623d9ae92aec900c1af98d80fb2e7cad3c02d62f5620f74c97dca7 | [
{
"prior_label": "ad_spared_control",
"source_citation": "cerebellum spared in MCI",
"source_collection": "external_nacc",
"source_id": "mci_cerebellum",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_cerebellum negative for MCI compared with CN? | d99250dd5fdee3cfd1bf95b8aba0c7aba750e348bdcc082e468cb45970ab8073 | ncb-external-transfer-12f6919745623d9a | 35d1b86c20ebc4b980891ed47cdff4fc98e77fa5a56f4ad48310394b591e053c | ncb-sem-8df3c520b912b075 | ad_aging | [
"ncb21-task-5b649a3be5f14f38"
] |
[
"external_nacc_ad_cerebellum_random_label_s20260737",
"external_nacc_mci_cerebellum_random_label_s20260740",
"ncb-external-transfer-5af9bf04d56e19b5"
] | aligned_with_safety_augmentation | ncb-external-transfer-12ff5dcc555c8bea | external_transfer | ncb-claim-bc7b8abc2aefcb5f | {
"claim_id": "external_nacc_mci_cerebellum_random_label_s20260740",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
"out... | 27c9abc94de2e24b045b1c8d8bb04760140e390c2e83cf7a21674ebfeea4fff7 | ready | sMRI | 27c9abc94de2e24b045b1c8d8bb04760140e390c2e83cf7a21674ebfeea4fff7 | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260740",
"source_collection": "external_nacc_random_controls",
"source_id": "external_nacc_mci_cerebellum_random_label_s20260740",
"source_mode": "external_random_control",
"source_path": "data/exter... | Random-label control matched to external_nacc_mci_cerebellum. | ce8a968acf11e5061c37f491c6afa33d3e3bdac4100ba7b187d6d558d88e0705 | ncb-external-transfer-12ff5dcc555c8bea | 68ec2eb8304b73a31b6d2c3a91125a5417121b0ac8e7caeef1f5de728558a283 | ncb-sem-bc7b8abc2aefcb5f | ad_aging | [
"ncb21-task-795e076042502261"
] |
[
"external_cnp_adhd_thalamus_random_label_s20260761",
"external_cnp_bd_thalamus_random_label_s20260750",
"external_cnp_scz_thalamus_random_label_s20260743",
"ncb-external-transfer-5c6b7dd9eaefdd3e",
"ncb-external-transfer-b1dc960ff4956e21"
] | aligned_with_safety_augmentation | ncb-external-transfer-192c0c6505c9c7e0 | external_transfer | ncb-claim-ee48966fa869069f | {
"claim_id": "external_cnp_adhd_thalamus_random_label_s20260761",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
"outcome": "sm... | b7e590b3f843672aa68f8a9c8a3eb94f08d2fc57c5fa09deeac0be38d8512952 | ready | sMRI | b7e590b3f843672aa68f8a9c8a3eb94f08d2fc57c5fa09deeac0be38d8512952 | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260761",
"source_collection": "external_cnp_random_controls",
"source_id": "external_cnp_adhd_thalamus_random_label_s20260761",
"source_mode": "external_random_control",
"source_path": "data/external... | Random-label control matched to external_cnp_adhd_thalamus. | 29a3bfdaedf0db9e3e15204c4957260ce2cb4aba2461f907c5856820a9e828fb | ncb-external-transfer-192c0c6505c9c7e0 | 5fe75d56b59413d45a7207b491f2a36a0f874d411c68f28602dbf23f5bbcd035 | ncb-sem-ee48966fa869069f | psychosis | [
"ncb21-task-edd1f42c4a9fd59f"
] |
[
"external_cnp_adhd_putamen_random_label_s20260757",
"external_cnp_scz_putamen_random_label_s20260748",
"ncb-external-transfer-649b7ce33d1e5139"
] | aligned_with_safety_augmentation | ncb-external-transfer-21a9351a0c613d68 | external_transfer | ncb-claim-6b5871bc34338a5a | {
"claim_id": "external_cnp_scz_putamen_random_label_s20260748",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
"outcome": "smri... | 65b1b4ecc86db12071e7bd911838358945c5c42d9f1573c3c3611f7edcc546fe | ready | sMRI | 65b1b4ecc86db12071e7bd911838358945c5c42d9f1573c3c3611f7edcc546fe | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260748",
"source_collection": "external_cnp_random_controls",
"source_id": "external_cnp_scz_putamen_random_label_s20260748",
"source_mode": "external_random_control",
"source_path": "data/external_b... | Random-label control matched to external_cnp_scz_putamen. | 1138deee7c35c43d3586d6d64a3dabb1e462c2e7f28af2a990f530490c6561f5 | ncb-external-transfer-21a9351a0c613d68 | d66b4231ce36ea72ee751d1afed648de356bfe42654aa3df9fffc37706cc6987 | ncb-sem-6b5871bc34338a5a | psychosis | [
"ncb21-task-c8efa5ce726d2a2c"
] |
[
"external_nacc_ad_paracentral_random_label_s20260735"
] | aligned_with_safety_augmentation | ncb-external-transfer-22ebf702279a5672 | external_transfer | ncb-claim-b5717192d92c5e93 | {
"claim_id": "external_nacc_ad_paracentral_random_label_s20260735",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
"out... | 3d1e623299db773bfd79031bfe61c5a0f4e1e94db10cd2e98add7457694f24dd | ready | sMRI | 3d1e623299db773bfd79031bfe61c5a0f4e1e94db10cd2e98add7457694f24dd | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260735",
"source_collection": "external_nacc_random_controls",
"source_id": "external_nacc_ad_paracentral_random_label_s20260735",
"source_mode": "external_random_control",
"source_path": "data/exter... | Random-label control matched to external_nacc_ad_paracentral. | 4a42ace186129a0c3ca3c63e61b87a31932df927a597f2435f1e9a257ac1e5fd | ncb-external-transfer-22ebf702279a5672 | e8706cc6fecfb4dc7db618e79745637170584d52eec2a1c1b1e7af7e654c95b3 | ncb-sem-b5717192d92c5e93 | ad_aging | [
"ncb21-task-dfdd80f59231cac5"
] |
[
"SCZ_thalamus"
] | aligned_with_safety_augmentation | ncb-external-transfer-2bd6d96052019d32 | external_transfer | ncb-claim-7ba8d0e8335325bf | {
"claim_id": "external_cnp_scz_thalamus",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "SCHZ",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_thalamus",
"predictor":... | 2bd6d96052019d32457a88cd70f20e161ad4e66f4e80dd0341a62eb8fda48df9 | ready | sMRI | 2bd6d96052019d32457a88cd70f20e161ad4e66f4e80dd0341a62eb8fda48df9 | [
{
"prior_label": "known_positive",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "SCZ_thalamus",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_thalamus negative for SCHZ compared with CONTROL? | 1f9ae5fe25dde3265f4410daf84cefbd872f59b5af2e51dec32eb2b2ca765171 | ncb-external-transfer-2bd6d96052019d32 | 22f7b4e5511f67c9b714d9945ed876266923d54aa86d72f944eb725c730d28ee | ncb-sem-7ba8d0e8335325bf | psychosis | [
"ncb21-task-3ceb5d86a19295df"
] |
[
"external_cnp_adhd_amygdala_random_label_s20260755",
"external_cnp_bd_amygdala_random_label_s20260752",
"external_cnp_scz_amygdala_random_label_s20260742",
"ncb-external-transfer-40424cb07a1c4591",
"ncb-external-transfer-9d32643d277fdfd0"
] | aligned_with_safety_augmentation | ncb-external-transfer-2ef4c0bcc46bed37 | external_transfer | ncb-claim-ca5e8b29e3d2aadc | {
"claim_id": "external_cnp_scz_amygdala_random_label_s20260742",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
"outcome": "smr... | afede2371ee08acf4ebe70e2cc5ef0a6530e8aa525e66d2c4f67e7387b8c8388 | ready | sMRI | afede2371ee08acf4ebe70e2cc5ef0a6530e8aa525e66d2c4f67e7387b8c8388 | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260742",
"source_collection": "external_cnp_random_controls",
"source_id": "external_cnp_scz_amygdala_random_label_s20260742",
"source_mode": "external_random_control",
"source_path": "data/external_... | Random-label control matched to external_cnp_scz_amygdala. | 8ff1ca3db31b406c023cfdc9de001993238a7742fecf3f4f7e6de799583a1d08 | ncb-external-transfer-2ef4c0bcc46bed37 | 28001d5fb214dc8a2e59292b105dd753db11f68f959e2392f89347212736fc69 | ncb-sem-ca5e8b29e3d2aadc | psychosis | [
"ncb21-task-c26251ebfb435372"
] |
[
"ad_midtemporal"
] | non_executable | ncb-external-transfer-2f7044d63c6a8771 | external_transfer | ncb-claim-30bbab6160cbfc7c | {
"claim_id": "external_nacc_ad_midtemporal",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_midtemporal",
"pred... | 2f7044d63c6a87710a3996bf92aed7d41ec29d7e1af4714b6f9c1a0eced44216 | non_executable | sMRI | 2f7044d63c6a87710a3996bf92aed7d41ec29d7e1af4714b6f9c1a0eced44216 | [
{
"prior_label": "known_positive",
"source_citation": "AD lateral-temporal atrophy",
"source_collection": "external_nacc",
"source_id": "ad_midtemporal",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_midtemporal negative for AD compared with CN? | 1e5bd0d1bd3151de74c6b50459f82a43d6b69da3dff6af5839abcc225b6080b1 | ncb-external-transfer-2f7044d63c6a8771 | 12e3cfd3d39e9c4bc448f1940436d854e41d9f0da216062a164dfac45205396f | ncb-sem-30bbab6160cbfc7c | ad_aging | [] |
[
"SCZ_lateralventricle"
] | aligned_with_safety_augmentation | ncb-external-transfer-3368778ccb30dbe8 | external_transfer | ncb-claim-1e66a151c67e33de | {
"claim_id": "external_cnp_scz_lateralventricle",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "SCHZ",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_lateralventricle",
... | 3368778ccb30dbe804567ee9703c1619a73432aba9ce742095928a37022d8251 | ready | sMRI | 3368778ccb30dbe804567ee9703c1619a73432aba9ce742095928a37022d8251 | [
{
"prior_label": "known_positive",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "SCZ_lateralventricle",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_lateralventricle positive for SCHZ compared with CONTROL? | c259c860e7ad322176f7a9738bb2b05e696db11afb937c289d855763d7d5b754 | ncb-external-transfer-3368778ccb30dbe8 | e0a9b3a4f9f636c35626aed8dfd915750bc04054a0729396084d2f0bef2913e0 | ncb-sem-1e66a151c67e33de | psychosis | [
"ncb21-task-81955622e1afddff"
] |
[
"ad_fusiform"
] | aligned_with_safety_augmentation | ncb-external-transfer-34b0d6368d06370a | external_transfer | ncb-claim-30f602f477968d42 | {
"claim_id": "external_nacc_ad_fusiform",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_fusiform",
"predictor"... | 34b0d6368d06370a0ad2f1f57784c27ece0112459c0a437df60c2544aa031708 | ready | sMRI | 34b0d6368d06370a0ad2f1f57784c27ece0112459c0a437df60c2544aa031708 | [
{
"prior_label": "known_positive",
"source_citation": "AD fusiform atrophy",
"source_collection": "external_nacc",
"source_id": "ad_fusiform",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_fusiform negative for AD compared with CN? | e1ac5f2ea2798663142a611fb254c5c874ba738a6c2ece02c455b8ef05707275 | ncb-external-transfer-34b0d6368d06370a | 41a1beb99613e6e3d960f099936162b2884bc10b2de2677ed94496bb29b1441e | ncb-sem-30f602f477968d42 | ad_aging | [
"ncb21-task-996e632551685164"
] |
[
"ad_inferiortemporal"
] | aligned_with_safety_augmentation | ncb-external-transfer-36b84e80d6c50012 | external_transfer | ncb-claim-0628c77415bb6653 | {
"claim_id": "external_nacc_ad_inferiortemporal",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_inferiortemporal",... | 36b84e80d6c50012527c3eb85ca6807bc1e8356f011bbcb381a666666c6c4896 | ready | sMRI | 36b84e80d6c50012527c3eb85ca6807bc1e8356f011bbcb381a666666c6c4896 | [
{
"prior_label": "known_positive",
"source_citation": "AD lateral-temporal atrophy",
"source_collection": "external_nacc",
"source_id": "ad_inferiortemporal",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_inferiortemporal negative for AD compared with CN? | 00547a68cc283ea3dc30e823c0969d283de642e4423f6948b7aa99f409a3511b | ncb-external-transfer-36b84e80d6c50012 | 4a840c9dbf04ee8e5bcb553f5c6241f987fd37ccd17b0057d0ee3c9d08a320a0 | ncb-sem-0628c77415bb6653 | ad_aging | [
"ncb21-task-cab2f356990668f8"
] |
[
"external_nacc_ad_precentral_random_label_s20260733",
"external_nacc_mci_precentral_random_label_s20260739",
"ncb-external-transfer-e1b87098afcc4a95"
] | aligned_with_safety_augmentation | ncb-external-transfer-3ecc90fbaac44bfe | external_transfer | ncb-claim-8a1fdad4711bf6d3 | {
"claim_id": "external_nacc_ad_precentral_random_label_s20260733",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
"outc... | ac14eb752018c2b066fd270067a2c6e97d60ece296274f08e5f792c27a25fb20 | ready | sMRI | ac14eb752018c2b066fd270067a2c6e97d60ece296274f08e5f792c27a25fb20 | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260733",
"source_collection": "external_nacc_random_controls",
"source_id": "external_nacc_ad_precentral_random_label_s20260733",
"source_mode": "external_random_control",
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[
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] | aligned_with_safety_augmentation | ncb-external-transfer-41a540435c5c78bc | external_transfer | ncb-claim-dbe97163e2441c26 | {
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{
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[
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"out... | b438e68421f62598f6144a98276d5070cf53e61708b4ffaeca54f0db418f9a10 | ready | sMRI | b438e68421f62598f6144a98276d5070cf53e61708b4ffaeca54f0db418f9a10 | [
{
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[
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"ncb-external-transfer-bdbc0dfaea605783"
] | aligned_with_safety_augmentation | ncb-external-transfer-4f545e6dc827f451 | external_transfer | ncb-claim-fc53e6be576ab059 | {
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],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
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},
"outcom... | 606cbc9e2a0469071a69378c251e92a1f730bcfd089b44998ba2b1244e1335b2 | ready | sMRI | 606cbc9e2a0469071a69378c251e92a1f730bcfd089b44998ba2b1244e1335b2 | [
{
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"source_mode": "external_random_control",
"source_path": "data/e... | Random-label control matched to external_cnp_scz_lateralventricle. | 62627f4c4958f2e6d755afe24678846d565b76e8bce130b79462859512819ff9 | ncb-external-transfer-4f545e6dc827f451 | 196b3b9acd5079a744d4f71c1705c34954c263932909ae301aac392bf055400a | ncb-sem-fc53e6be576ab059 | psychosis | [
"ncb21-task-4d686e6eead8d927"
] |
[
"ADHD_caudate"
] | aligned_with_safety_augmentation | ncb-external-transfer-530077d063ef312f | external_transfer | ncb-claim-fce01dfe2d348420 | {
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],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
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{
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}
] | In CNP, is smri_caudate negative for ADHD compared with CONTROL? | 18b4a7fabf4d335faf8a3f74ae4791c1c20d84274d426247357234d25068fed3 | ncb-external-transfer-530077d063ef312f | 1130cba58fa8ba2235334d8598646ec0c2861984c9bbc44e7ceae9cedc4f32d1 | ncb-sem-fce01dfe2d348420 | psychosis | [
"ncb21-task-056b7bd49e634bc6"
] |
[
"ADHD_amygdala"
] | aligned_with_safety_augmentation | ncb-external-transfer-54ee5bbdf18fb340 | external_transfer | ncb-claim-54179c9ce5847947 | {
"claim_id": "external_cnp_adhd_amygdala",
"covariates": [
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],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
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},
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"predictor"... | 54ee5bbdf18fb340fbf27b0818d752105993d52e8ffda15d7bfb15293e12da3d | ready | sMRI | 54ee5bbdf18fb340fbf27b0818d752105993d52e8ffda15d7bfb15293e12da3d | [
{
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"source_mode": "external_transfer",
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}
] | In CNP, is smri_amygdala negative for ADHD compared with CONTROL? | d532a485bd849c0cb45037641ea80736f0f6016a0d923265466b91e9eb0dc5c0 | ncb-external-transfer-54ee5bbdf18fb340 | 87089c6c5d6e658961408877bdacdd7ed4a932b1f8b30924ab18d164d6dca7ba | ncb-sem-54179c9ce5847947 | psychosis | [
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] |
[
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] | aligned_with_safety_augmentation | ncb-external-transfer-569510b14fd88380 | external_transfer | ncb-claim-cf4760b5d16b2064 | {
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"covariates": [
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],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
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"out... | cb99d85c37156d750cd33985f727208fc6076a59810b54ccaa0af4a96d96981d | ready | sMRI | cb99d85c37156d750cd33985f727208fc6076a59810b54ccaa0af4a96d96981d | [
{
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[
"BD_amygdala"
] | aligned_with_safety_augmentation | ncb-external-transfer-5794ca4d9a4f492b | external_transfer | ncb-claim-41b2c73ae2363e71 | {
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"covariates": [
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],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
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},
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"predictor... | 5794ca4d9a4f492b604df75e21a70452f997e1068093f33ff92a5cd7c5105b7f | ready | sMRI | 5794ca4d9a4f492b604df75e21a70452f997e1068093f33ff92a5cd7c5105b7f | [
{
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}
] | In CNP, is smri_amygdala negative for BIPOLAR compared with CONTROL? | 29d4a397de717b443ff164f79535880a17ca14137a5ea81c5b218276f867b10f | ncb-external-transfer-5794ca4d9a4f492b | b6f67e070870d5a4b54a74765ba8de029195f1cfe24e0fa8140deb5fa3d9300b | ncb-sem-41b2c73ae2363e71 | psychosis | [
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] |
[
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] | aligned_with_safety_augmentation | ncb-external-transfer-58774413687b61b9 | external_transfer | ncb-claim-792723940f46d7a0 | {
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"covariates": [
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],
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"estimand": {
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},
"outcome": ... | dfa0f5e86b3c68f93619ad4aa1274d453d21a2b1ad07ca6af78718c19cb19126 | ready | sMRI | dfa0f5e86b3c68f93619ad4aa1274d453d21a2b1ad07ca6af78718c19cb19126 | [
{
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"ncb21-task-70dcb426e511c52f"
] |
[
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] | aligned_with_safety_augmentation | ncb-external-transfer-5f9f5d74554e0614 | external_transfer | ncb-claim-d2c45232a71d3eae | {
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"covariates": [
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],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
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},
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"predictor... | 5f9f5d74554e0614286247e539df77c7447f9be85173123171ae3ae0c09a6c6d | ready | sMRI | 5f9f5d74554e0614286247e539df77c7447f9be85173123171ae3ae0c09a6c6d | [
{
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"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_thalamus negative for BIPOLAR compared with CONTROL? | fc40873185b4f9f779a876ccc611d5fbd3a59b20501bc1d1096453c6ffbbf139 | ncb-external-transfer-5f9f5d74554e0614 | 89f0da24c7b2ea17d4cb975b00ffaa4eaf9abddca2094c9927c6c72aff277c98 | ncb-sem-d2c45232a71d3eae | psychosis | [
"ncb21-task-1248ee49d6b353a8"
] |
[
"mci_hippocampus"
] | aligned_with_safety_augmentation | ncb-external-transfer-5fb11c517888b8d9 | external_transfer | ncb-claim-b72b43aef7740981 | {
"claim_id": "external_nacc_mci_hippocampus",
"covariates": [
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],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
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},
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"pr... | 5fb11c517888b8d924cd8c19b347ccae0ef25f2697b27fdb07d9a8351a9baab6 | ready | sMRI | 5fb11c517888b8d924cd8c19b347ccae0ef25f2697b27fdb07d9a8351a9baab6 | [
{
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"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_agin... | In NACC, is smri_hippocampus negative for MCI compared with CN? | 732c2064c4edc92cc22ed5b4500af374e55068b627f59ba4428179335064ef5c | ncb-external-transfer-5fb11c517888b8d9 | 3bc5219bbd272aee8d64d229c0f70ae7f06f04d4762dbbbe81a9b09280dbc4ec | ncb-sem-b72b43aef7740981 | ad_aging | [
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[
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"ncb-external-transfer-ab77063a4fdea473",
"ncb-external-transfer-dad971403b2123e4"
] | aligned_with_safety_augmentation | ncb-external-transfer-6a1fd39ef4326482 | external_transfer | ncb-claim-c1f1b65935788548 | {
"claim_id": "external_cnp_scz_accumbens_random_label_s20260744",
"covariates": [
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],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
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},
"outcome": "sm... | 73747f0cddc3039ef2f721bcbb1f7c47c6c634c7bc996bbaa9edc229f715aefb | ready | sMRI | 73747f0cddc3039ef2f721bcbb1f7c47c6c634c7bc996bbaa9edc229f715aefb | [
{
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"source_id": "external_cnp_scz_accumbens_random_label_s20260744",
"source_mode": "external_random_control",
"source_path": "data/external... | Random-label control matched to external_cnp_scz_accumbens. | c3f329ae2cc3045109c5a6c3051b95fb3d9edb309895ea869b08896d5cd32f40 | ncb-external-transfer-6a1fd39ef4326482 | aa31bdaf2f0dccdda63f8b1de9fd04233c8402f180b7f5116fa6f090c43b60f7 | ncb-sem-c1f1b65935788548 | psychosis | [
"ncb21-task-c3101591e4f28500"
] |
[
"external_nacc_ad_wholebrain_random_label_s20260728"
] | aligned_with_safety_augmentation | ncb-external-transfer-6c51801ff315cd4f | external_transfer | ncb-claim-a3918ff5733fc94f | {
"claim_id": "external_nacc_ad_wholebrain_random_label_s20260728",
"covariates": [
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],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
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"var": "ncb_random_group"
},
"outc... | e564a621e4371feb2bf65ed392edd8a05f416d9d447ddce9d5b0f15a4012e8ea | ready | sMRI | e564a621e4371feb2bf65ed392edd8a05f416d9d447ddce9d5b0f15a4012e8ea | [
{
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"source_id": "external_nacc_ad_wholebrain_random_label_s20260728",
"source_mode": "external_random_control",
"source_path": "data/extern... | Random-label control matched to external_nacc_ad_wholebrain. | 5144d27e87d735c369a9087cd657070017727b610b63676f3d2722bf228bcc6c | ncb-external-transfer-6c51801ff315cd4f | 1650324e6488783c1bd8f3f97cf01db74a14eed99474009f082526622a311664 | ncb-sem-a3918ff5733fc94f | ad_aging | [
"ncb21-task-4875a681d27f91e0"
] |
[
"ad_precentral"
] | aligned_with_safety_augmentation | ncb-external-transfer-6e7550292e8dbaff | external_transfer | ncb-claim-800720dffff3c429 | {
"claim_id": "external_nacc_ad_precentral",
"covariates": [
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],
"discovery_cohort": "NACC_EXTERNAL_DISC",
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"group": {
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},
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"predic... | 6e7550292e8dbaffab7a229a2ba0bc03e8ef2a064499fe89097f4d6d9624eab8 | ready | sMRI | 6e7550292e8dbaffab7a229a2ba0bc03e8ef2a064499fe89097f4d6d9624eab8 | [
{
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"source_path": "data/external_benchmark/nacc_claims.csv",
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}
... | In NACC, is smri_precentral negative for AD compared with CN? | d64de9d68f1672c913da6ca1dfe2ae02c5d2c5c243535c78b112ae72f0809a01 | ncb-external-transfer-6e7550292e8dbaff | 06e7014869b26d9d4c7c092077c80a2c310a6b2640100765f7d40915381cf4de | ncb-sem-800720dffff3c429 | ad_aging | [
"ncb21-task-f8930ea35c0e7afa"
] |
[
"ADHD_accumbens"
] | aligned_with_safety_augmentation | ncb-external-transfer-6e919234505c3841 | external_transfer | ncb-claim-884efb947c9aa968 | {
"claim_id": "external_cnp_adhd_accumbens",
"covariates": [
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"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
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"group": {
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"control": "CONTROL",
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},
"outcome": "smri_accumbens",
"predicto... | 6e919234505c3841b986a1832bc46d64f6b367352b038401c386249bf3bc8b83 | ready | sMRI | 6e919234505c3841b986a1832bc46d64f6b367352b038401c386249bf3bc8b83 | [
{
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"target_family": "psychosis"
}
] | In CNP, is smri_accumbens negative for ADHD compared with CONTROL? | 8e3711f519b4fd59b1ee0b9362eb0fed62785982f264e71c217d4926732d8ffb | ncb-external-transfer-6e919234505c3841 | c42a7ea36fb73ed0b96d931e6f084f5c77fddbe1a9dfc0d2fbe7c66fb1e00017 | ncb-sem-884efb947c9aa968 | psychosis | [
"ncb21-task-6ee140df8df7f981"
] |
[
"BD_hippocampus"
] | aligned_with_safety_augmentation | ncb-external-transfer-717b76df43cc7ce7 | external_transfer | ncb-claim-4637e3cd33438ecc | {
"claim_id": "external_cnp_bd_hippocampus",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "BIPOLAR",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_hippocampus",
"pre... | 717b76df43cc7ce783428377f6663c8a8242b0602301306d5513c88ac53c39d3 | ready | sMRI | 717b76df43cc7ce783428377f6663c8a8242b0602301306d5513c88ac53c39d3 | [
{
"prior_label": "known_positive",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "BD_hippocampus",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_hippocampus negative for BIPOLAR compared with CONTROL? | b379d42006306c06e4177d96b6510ecdb62aca0d104732edf708e1778b13b0e3 | ncb-external-transfer-717b76df43cc7ce7 | f3bbda24cbf2adf1bd35f0ce050f695386c6dc523db39079d165ea19f3c41418 | ncb-sem-4637e3cd33438ecc | psychosis | [
"ncb21-task-8c9b8c06fc709efb"
] |
[
"mci_entorhinal"
] | aligned_with_safety_augmentation | ncb-external-transfer-75d84aea42f71e47 | external_transfer | ncb-claim-9857878903c334a7 | {
"claim_id": "external_nacc_mci_entorhinal",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "MCI",
"control": "CN",
"var": "dx"
},
"outcome": "smri_entorhinal",
"pred... | 75d84aea42f71e47f0246ca3b151b088e8ef3fce123bb1930a1f0227b349dbbf | ready | sMRI | 75d84aea42f71e47f0246ca3b151b088e8ef3fce123bb1930a1f0227b349dbbf | [
{
"prior_label": "fragile",
"source_citation": "MCI entorhinal atrophy moderate/variable",
"source_collection": "external_nacc",
"source_id": "mci_entorhinal",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_entorhinal negative for MCI compared with CN? | e64fc8b4b7bf8b0a874f9c91cd623804eae7642306f52cb04fc0f0542acba5dc | ncb-external-transfer-75d84aea42f71e47 | d5f1ef029d4ef266b50df566f4d4b922f0e3880db246000296e73c4b1e625f8b | ncb-sem-9857878903c334a7 | ad_aging | [
"ncb21-task-7b2cdd8e592c84a2"
] |
[
"external_nacc_ad_inferiortemporal_random_label_s20260726"
] | aligned_with_safety_augmentation | ncb-external-transfer-79370db65226ca4e | external_transfer | ncb-claim-379d3b8ea766cd3f | {
"claim_id": "external_nacc_ad_inferiortemporal_random_label_s20260726",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
... | 1cd72258063ae306c874c4f2a900ff8d720999ae59b6f4edf132663ef97afab0 | ready | sMRI | 1cd72258063ae306c874c4f2a900ff8d720999ae59b6f4edf132663ef97afab0 | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260726",
"source_collection": "external_nacc_random_controls",
"source_id": "external_nacc_ad_inferiortemporal_random_label_s20260726",
"source_mode": "external_random_control",
"source_path": "data/... | Random-label control matched to external_nacc_ad_inferiortemporal. | 68648c24e14bfea390f99d3cd81afe3c17d560e19560ee93efbe636e11f4487f | ncb-external-transfer-79370db65226ca4e | d28010e97834411601ae97a3145463ac1ebf45f565ff34d3cf16a878f0dba05c | ncb-sem-379d3b8ea766cd3f | ad_aging | [
"ncb21-task-2169084a38eb251b"
] |
[
"mci_precentral"
] | aligned_with_safety_augmentation | ncb-external-transfer-7f37d5578b3cc678 | external_transfer | ncb-claim-3f82f240b24743a5 | {
"claim_id": "external_nacc_mci_precentral",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "MCI",
"control": "CN",
"var": "dx"
},
"outcome": "smri_precentral",
"pred... | 7f37d5578b3cc678c580754daec1b63b7cd7488813df0e26efb5b34b92a2a8f6 | ready | sMRI | 7f37d5578b3cc678c580754daec1b63b7cd7488813df0e26efb5b34b92a2a8f6 | [
{
"prior_label": "ad_spared_control",
"source_citation": "primary motor spared in MCI",
"source_collection": "external_nacc",
"source_id": "mci_precentral",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_precentral negative for MCI compared with CN? | 09d14d1b9ac5fdbe48ab201317aab5b736988dc40d6ff0e862ca838bb466865f | ncb-external-transfer-7f37d5578b3cc678 | 9024534c7a37783fe23018ecd8e4007537a72766df2c02473394b77d6f2bd832 | ncb-sem-3f82f240b24743a5 | ad_aging | [
"ncb21-task-2c6cacba778204de"
] |
[
"ad_postcentral"
] | aligned_with_safety_augmentation | ncb-external-transfer-87da7810f0a4515f | external_transfer | ncb-claim-9c3c2242ac51f459 | {
"claim_id": "external_nacc_ad_postcentral",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_postcentral",
"pred... | 87da7810f0a4515fd25c6bb74f6a951494e20c38fdf8988d2b3836d369932721 | ready | sMRI | 87da7810f0a4515fd25c6bb74f6a951494e20c38fdf8988d2b3836d369932721 | [
{
"prior_label": "ad_spared_control",
"source_citation": "primary sensory cortex spared in AD",
"source_collection": "external_nacc",
"source_id": "ad_postcentral",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
... | In NACC, is smri_postcentral negative for AD compared with CN? | 3daff46b1e6aee8357aa368c0c57906f78a4c1f9d6a011bb2b81342e0bc0fe40 | ncb-external-transfer-87da7810f0a4515f | a16e4752c36f031cb7a1cf0efe7e6bf237bd8dc9bac573cca4973a876631327f | ncb-sem-9c3c2242ac51f459 | ad_aging | [
"ncb21-task-101b0d9b0a5af630"
] |
[
"ad_parahippocampal"
] | aligned_with_safety_augmentation | ncb-external-transfer-89a3d773c1c9f79a | external_transfer | ncb-claim-35ab38bf5127a8bc | {
"claim_id": "external_nacc_ad_parahippocampal",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_parahippocampal",
... | 89a3d773c1c9f79a4712c25306cd05d5d4e2c0a3aa7a55fe0058099c18922dbe | ready | sMRI | 89a3d773c1c9f79a4712c25306cd05d5d4e2c0a3aa7a55fe0058099c18922dbe | [
{
"prior_label": "known_positive",
"source_citation": "AD medial-temporal atrophy",
"source_collection": "external_nacc",
"source_id": "ad_parahippocampal",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_parahippocampal negative for AD compared with CN? | 70b6e69485b06fcde8ea25df35276c27d33dc0adb1abd6267df507d95cb457cd | ncb-external-transfer-89a3d773c1c9f79a | 2cfe32fc531077c2d56f45cb5130affa3f36588bf6c7627bc0b82606030e3707 | ncb-sem-35ab38bf5127a8bc | ad_aging | [
"ncb21-task-3a0c46add0ae8220"
] |
[
"SCZ_pallidum"
] | aligned_with_safety_augmentation | ncb-external-transfer-8a63ea377d95958e | external_transfer | ncb-claim-061659ac6029e857 | {
"claim_id": "external_cnp_scz_pallidum",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "SCHZ",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_pallidum",
"predictor":... | 8a63ea377d95958e3b3536ba261c1af8ce07ca37dc78ed751501c82f03a8f0eb | ready | sMRI | 8a63ea377d95958e3b3536ba261c1af8ce07ca37dc78ed751501c82f03a8f0eb | [
{
"prior_label": "known_positive",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "SCZ_pallidum",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_pallidum positive for SCHZ compared with CONTROL? | 98a2ea90a3062fc789dae0648a096080e92a931adc16e88a675f8f733844d471 | ncb-external-transfer-8a63ea377d95958e | 12724afce26281ba85171ab20307569be5b0f35eb025df654dd83f7adb1a3a46 | ncb-sem-061659ac6029e857 | psychosis | [
"ncb21-task-2fdbf0b5a11d962f"
] |
[
"SCZ_putamen"
] | aligned_with_safety_augmentation | ncb-external-transfer-913498386bc29d4b | external_transfer | ncb-claim-235791b5d5f8197d | {
"claim_id": "external_cnp_scz_putamen",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "SCHZ",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_putamen",
"predictor": ... | 913498386bc29d4b2b3c583e5816a5a09b3b17ebbe76c36fc84136301f8a9c9d | ready | sMRI | 913498386bc29d4b2b3c583e5816a5a09b3b17ebbe76c36fc84136301f8a9c9d | [
{
"prior_label": "known_null",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "SCZ_putamen",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_putamen two_sided for SCHZ compared with CONTROL? | c9a7495fe96a9e9cd05698659acf7af038028deb67f49f51d9561829475dbdb3 | ncb-external-transfer-913498386bc29d4b | b9d779546c02e86f6ef14b71ea86b782feed43cd71748f442a139ed918b8f606 | ncb-sem-235791b5d5f8197d | psychosis | [
"ncb21-task-acc2b44ef899edee"
] |
[
"external_nacc_ad_fusiform_random_label_s20260727"
] | aligned_with_safety_augmentation | ncb-external-transfer-92410531cc87b1c8 | external_transfer | ncb-claim-ba8e909d57e0bb39 | {
"claim_id": "external_nacc_ad_fusiform_random_label_s20260727",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
"outcom... | 177eb50cd5631fb9eedb233479913432dd89571b2ad2397f1156ff24579db4db | ready | sMRI | 177eb50cd5631fb9eedb233479913432dd89571b2ad2397f1156ff24579db4db | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260727",
"source_collection": "external_nacc_random_controls",
"source_id": "external_nacc_ad_fusiform_random_label_s20260727",
"source_mode": "external_random_control",
"source_path": "data/external... | Random-label control matched to external_nacc_ad_fusiform. | 53884c395d6eca8399c143d028bf77319139b0ac7ed39dce3d56cf03b8322138 | ncb-external-transfer-92410531cc87b1c8 | c181a5f1ac1c74e2adad203ae91eee2d00e51606aa0435381fa412ad66baa509 | ncb-sem-ba8e909d57e0bb39 | ad_aging | [
"ncb21-task-d6b1b16213b3ab67"
] |
[
"external_nacc_ad_cuneus_random_label_s20260736"
] | aligned_with_safety_augmentation | ncb-external-transfer-9345083b10556ec3 | external_transfer | ncb-claim-ec03d1db1ab5d607 | {
"claim_id": "external_nacc_ad_cuneus_random_label_s20260736",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
"outcome"... | 236d9e863eca8dbbec9a7a6666c1537b22dcdd7218f3dabcdc6a0f59e0bf8511 | ready | sMRI | 236d9e863eca8dbbec9a7a6666c1537b22dcdd7218f3dabcdc6a0f59e0bf8511 | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260736",
"source_collection": "external_nacc_random_controls",
"source_id": "external_nacc_ad_cuneus_random_label_s20260736",
"source_mode": "external_random_control",
"source_path": "data/external_b... | Random-label control matched to external_nacc_ad_cuneus. | 506d430c1bbc4c4de013342e4a78c10bb7664e60c242cee4cf970c568fe960ef | ncb-external-transfer-9345083b10556ec3 | f6d73ee9ef588c5c088f47f87a355e37f96b0f74b5e865b6381123779d4d6ca8 | ncb-sem-ec03d1db1ab5d607 | ad_aging | [
"ncb21-task-bb43c3c406fa97cf"
] |
[
"external_cnp_adhd_caudate_random_label_s20260759",
"external_cnp_bd_caudate_random_label_s20260754",
"external_cnp_scz_caudate_random_label_s20260747",
"ncb-external-transfer-b779317523837d8a",
"ncb-external-transfer-d4cb2a3952b07dcd"
] | aligned_with_safety_augmentation | ncb-external-transfer-94dea5dc0bc79c8c | external_transfer | ncb-claim-7e6ab519cb04ad68 | {
"claim_id": "external_cnp_scz_caudate_random_label_s20260747",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
"outcome": "smri... | 07b5ce391445bb3372d9a20b6547a7aa28b023d95441930e2ded99807341354d | ready | sMRI | 07b5ce391445bb3372d9a20b6547a7aa28b023d95441930e2ded99807341354d | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260747",
"source_collection": "external_cnp_random_controls",
"source_id": "external_cnp_scz_caudate_random_label_s20260747",
"source_mode": "external_random_control",
"source_path": "data/external_b... | Random-label control matched to external_cnp_scz_caudate. | f0b6912c7bf1508bd7d141320b5ea0a5abad91d67669fd462bd5f9b896007f86 | ncb-external-transfer-94dea5dc0bc79c8c | 40c295cb57c49cf97042b4266c35406d7de24588ae9d1b51f757e6472091db1e | ncb-sem-7e6ab519cb04ad68 | psychosis | [
"ncb21-task-46aaac00f9a0a6d1"
] |
[
"SCZ_amygdala"
] | aligned_with_safety_augmentation | ncb-external-transfer-963d6d126e015ed1 | external_transfer | ncb-claim-b46d9a9c93f21668 | {
"claim_id": "external_cnp_scz_amygdala",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "SCHZ",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_amygdala",
"predictor":... | 963d6d126e015ed1951ca4a09d65a38f7950d95a1ab654aaa720d117ad228067 | ready | sMRI | 963d6d126e015ed1951ca4a09d65a38f7950d95a1ab654aaa720d117ad228067 | [
{
"prior_label": "known_positive",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "SCZ_amygdala",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_amygdala negative for SCHZ compared with CONTROL? | 98dfdae5060fcf8fee6118781f30ba26fcdad304cd93f33397925db47fa49a21 | ncb-external-transfer-963d6d126e015ed1 | 2bc6e59bc21a43dde7e3c29999ad46335272222f6c810f6ad0a78e054a23b049 | ncb-sem-b46d9a9c93f21668 | psychosis | [
"ncb21-task-96fb9b5030208ca8"
] |
[
"SCZ_accumbens"
] | aligned_with_safety_augmentation | ncb-external-transfer-9c7a47dbebfe1759 | external_transfer | ncb-claim-599c3fa34cbbd1a8 | {
"claim_id": "external_cnp_scz_accumbens",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "SCHZ",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_accumbens",
"predictor... | 9c7a47dbebfe1759a0b310c27fec449c761d034846196c9372d436a7fa570a34 | ready | sMRI | 9c7a47dbebfe1759a0b310c27fec449c761d034846196c9372d436a7fa570a34 | [
{
"prior_label": "known_positive",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "SCZ_accumbens",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_accumbens negative for SCHZ compared with CONTROL? | d20f98d5266325de494f1804636bb9f8f0b44c8f3c95f5c72a0c6e0217a6de96 | ncb-external-transfer-9c7a47dbebfe1759 | 85e76ff2f0d3346b4d63e55ade5b6046f511aa93b720049a506989829ed9bb89 | ncb-sem-599c3fa34cbbd1a8 | psychosis | [
"ncb21-task-991c1aea260f8443"
] |
[
"external_nacc_ad_postcentral_random_label_s20260734"
] | aligned_with_safety_augmentation | ncb-external-transfer-a614b9f9882504d0 | external_transfer | ncb-claim-9ba7176b64bf4635 | {
"claim_id": "external_nacc_ad_postcentral_random_label_s20260734",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
"out... | 38047a99569b8c6d055c31fb9abf1854bfbd9362cd6d3226a4899c89e0fe2efc | ready | sMRI | 38047a99569b8c6d055c31fb9abf1854bfbd9362cd6d3226a4899c89e0fe2efc | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260734",
"source_collection": "external_nacc_random_controls",
"source_id": "external_nacc_ad_postcentral_random_label_s20260734",
"source_mode": "external_random_control",
"source_path": "data/exter... | Random-label control matched to external_nacc_ad_postcentral. | dfea690d6dd034fb03620c86b742540b961f7b6919db72dbf1cdbd02499477a7 | ncb-external-transfer-a614b9f9882504d0 | 44640b923250186c16620c628f181958b6df0ba09c59f53436b1641ed443a2e9 | ncb-sem-9ba7176b64bf4635 | ad_aging | [
"ncb21-task-af3e384c7e68d116"
] |
[
"ad_paracentral"
] | aligned_with_safety_augmentation | ncb-external-transfer-a8646216db807141 | external_transfer | ncb-claim-30d40f03781554d7 | {
"claim_id": "external_nacc_ad_paracentral",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_paracentral",
"pred... | a8646216db807141e5fa3c071adb36cd3d38b0fb6f84bd96d6b97235462c4ac9 | ready | sMRI | a8646216db807141e5fa3c071adb36cd3d38b0fb6f84bd96d6b97235462c4ac9 | [
{
"prior_label": "ad_spared_control",
"source_citation": "paracentral lobule spared in AD",
"source_collection": "external_nacc",
"source_id": "ad_paracentral",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_paracentral negative for AD compared with CN? | b81ec785bd815a834d8aa82d51f348c634933b400748f10de01989883c477ec3 | ncb-external-transfer-a8646216db807141 | 7903a82e8815e6ea98e238d2a6a40fa537a55c200ce3cdffdb1a15a33beaa587 | ncb-sem-30d40f03781554d7 | ad_aging | [
"ncb21-task-9f2d3e04810b8017"
] |
[
"ad_pericalcarine"
] | aligned_with_safety_augmentation | ncb-external-transfer-aab29b1d1c0b92a5 | external_transfer | ncb-claim-77dee2d9b3c50af0 | {
"claim_id": "external_nacc_ad_pericalcarine",
"covariates": [
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"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_pericalcarine",
"... | aab29b1d1c0b92a5c132c069f6bc9307fa1031eca7947b82074e5f12139cb771 | ready | sMRI | aab29b1d1c0b92a5c132c069f6bc9307fa1031eca7947b82074e5f12139cb771 | [
{
"prior_label": "ad_spared_control",
"source_citation": "primary visual cortex spared early in AD",
"source_collection": "external_nacc",
"source_id": "ad_pericalcarine",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_a... | In NACC, is smri_pericalcarine negative for AD compared with CN? | a0e37384366f94dc1f7efe006914db1bf78613afcbdec8780c40b58e840e8745 | ncb-external-transfer-aab29b1d1c0b92a5 | 7b57cd00b75508b62e35724197040a383f60d5cb31a9b4518f7c95eb7a2aa89f | ncb-sem-77dee2d9b3c50af0 | ad_aging | [
"ncb21-task-e0519f8d09ddd048"
] |
[
"SCZ_hippocampus"
] | aligned_with_safety_augmentation | ncb-external-transfer-add0ae4efa4206f4 | external_transfer | ncb-claim-bd5b33b256ee3251 | {
"claim_id": "external_cnp_scz_hippocampus",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "SCHZ",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_hippocampus",
"predi... | add0ae4efa4206f49f2421138d0bb744804c31fec995dfaef3c8e06aac745949 | ready | sMRI | add0ae4efa4206f49f2421138d0bb744804c31fec995dfaef3c8e06aac745949 | [
{
"prior_label": "known_positive",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "SCZ_hippocampus",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_hippocampus negative for SCHZ compared with CONTROL? | 45fb4804360fed716a78a25ddb5ee62880f9666d8aa289cc463f7f86a2a1eb10 | ncb-external-transfer-add0ae4efa4206f4 | 7972ddbec99514d87589857d33d71face8031bdb1f124750c04edfa3e6491b73 | ncb-sem-bd5b33b256ee3251 | psychosis | [
"ncb21-task-e0f0cb06c3c5b230"
] |
[
"external_nacc_ad_pericalcarine_random_label_s20260732",
"external_nacc_mci_pericalcarine_random_label_s20260738",
"ncb-external-transfer-f244f554b1465256"
] | aligned_with_safety_augmentation | ncb-external-transfer-aebaac8d15a9b19e | external_transfer | ncb-claim-320ffdf7d4b006d8 | {
"claim_id": "external_nacc_mci_pericalcarine_random_label_s20260738",
"covariates": [
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"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
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"control": "B",
"var": "ncb_random_group"
},
"... | 3302e51001b304ed08457ae41ef9228099d2f46a58040060f91bae9929948aa1 | ready | sMRI | 3302e51001b304ed08457ae41ef9228099d2f46a58040060f91bae9929948aa1 | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260738",
"source_collection": "external_nacc_random_controls",
"source_id": "external_nacc_mci_pericalcarine_random_label_s20260738",
"source_mode": "external_random_control",
"source_path": "data/ex... | Random-label control matched to external_nacc_mci_pericalcarine. | 35e57089d90a1918400826c90111c94f69426662216c569411e8392494c6e4ec | ncb-external-transfer-aebaac8d15a9b19e | ee333f0bb1d61fa8656970714230e829396ceec6c4c6437f0a45b05335c3991d | ncb-sem-320ffdf7d4b006d8 | ad_aging | [
"ncb21-task-aa17d211e56c69cc"
] |
[
"ADHD_pallidum"
] | aligned_with_safety_augmentation | ncb-external-transfer-b8fb8dbb05332d12 | external_transfer | ncb-claim-32ee581d8c3f930c | {
"claim_id": "external_cnp_adhd_pallidum",
"covariates": [
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"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
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"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_pallidum",
"predictor... | b8fb8dbb05332d12269e95853428ee27fe9dc55dcc7002c27e81a5ac83b94e59 | ready | sMRI | b8fb8dbb05332d12269e95853428ee27fe9dc55dcc7002c27e81a5ac83b94e59 | [
{
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"source_citation": "",
"source_collection": "external_cnp",
"source_id": "ADHD_pallidum",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_pallidum two_sided for ADHD compared with CONTROL? | fa741a945b42d260005158d1cd289b0c8dd483433e9d7075274f9a62ebf84f68 | ncb-external-transfer-b8fb8dbb05332d12 | 787a185998d584ae5549e151257d494bb8047dc67ba224687b5df5b743f46410 | ncb-sem-32ee581d8c3f930c | psychosis | [
"ncb21-task-b0f7d6a40b5ff683"
] |
[
"ad_hippocampus"
] | aligned_with_safety_augmentation | ncb-external-transfer-bd91d6374d028fa2 | external_transfer | ncb-claim-37f640879318ca57 | {
"claim_id": "external_nacc_ad_hippocampus",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_hippocampus",
"pred... | bd91d6374d028fa2b0bb5214ffa478877487a12d7b56cf7a495d42c306ac0d99 | ready | sMRI | bd91d6374d028fa2b0bb5214ffa478877487a12d7b56cf7a495d42c306ac0d99 | [
{
"prior_label": "known_positive",
"source_citation": "ENIGMA/Shi2009 AD hippocampal atrophy d~-1.5",
"source_collection": "external_nacc",
"source_id": "ad_hippocampus",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_ag... | In NACC, is smri_hippocampus negative for AD compared with CN? | 7d6f3bbc1c0664e8ee14229ef41c27e1d9a65e696ce299470f12eab5fde10c33 | ncb-external-transfer-bd91d6374d028fa2 | f09597fa2d0a1347d0476aeeea0c563fa1b7538f251fe786995619ca28390fe6 | ncb-sem-37f640879318ca57 | ad_aging | [
"ncb21-task-baa1113679fb1a86"
] |
[
"external_nacc_ad_lateralventricle_random_label_s20260729"
] | aligned_with_safety_augmentation | ncb-external-transfer-c4f5cafd4fc66d6e | external_transfer | ncb-claim-c82b875c36c51d90 | {
"claim_id": "external_nacc_ad_lateralventricle_random_label_s20260729",
"covariates": [
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"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
... | 0de4e0b71532da554422a891dd54ed5d6985a6f233586a6d545aa5ba3e0b57b6 | ready | sMRI | 0de4e0b71532da554422a891dd54ed5d6985a6f233586a6d545aa5ba3e0b57b6 | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260729",
"source_collection": "external_nacc_random_controls",
"source_id": "external_nacc_ad_lateralventricle_random_label_s20260729",
"source_mode": "external_random_control",
"source_path": "data/... | Random-label control matched to external_nacc_ad_lateralventricle. | a3cfaf6f116ca3b89ff9e9be919670aa8d21348b6b22a0f9e937ec2c5d21e713 | ncb-external-transfer-c4f5cafd4fc66d6e | 4ddb4c96ee811cf1fd205c29ce026c0c0675158164d8894dbf864f7e52b89aee | ncb-sem-c82b875c36c51d90 | ad_aging | [
"ncb21-task-c47957b26806a895"
] |
[
"ad_entorhinal"
] | aligned_with_safety_augmentation | ncb-external-transfer-d39f4693f159c73e | external_transfer | ncb-claim-4fb681f9bc047ec5 | {
"claim_id": "external_nacc_ad_entorhinal",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_entorhinal",
"predic... | d39f4693f159c73edbb7c2d0af3241a68013ffd7206a68dc948d8d6fadef7861 | ready | sMRI | d39f4693f159c73edbb7c2d0af3241a68013ffd7206a68dc948d8d6fadef7861 | [
{
"prior_label": "known_positive",
"source_citation": "AD entorhinal atrophy d~-1.5 (ADNI)",
"source_collection": "external_nacc",
"source_id": "ad_entorhinal",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_entorhinal negative for AD compared with CN? | b1d4718d0097480d5c32905038687b89f96368d04dc542d5dbd20a9bb293d0bf | ncb-external-transfer-d39f4693f159c73e | 54e53455bb58bb6bc8a34bc54a1dbd41d9a9d5b1f8aaaaa0c46d4432dca2d3bc | ncb-sem-4fb681f9bc047ec5 | ad_aging | [
"ncb21-task-d6c9a759926dec82"
] |
[
"ad_cuneus"
] | aligned_with_safety_augmentation | ncb-external-transfer-d502bc59cbfea3cf | external_transfer | ncb-claim-511c3e4b4a66958c | {
"claim_id": "external_nacc_ad_cuneus",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_cuneus",
"predictor": "d... | d502bc59cbfea3cf8cda2d29aef62fb06b7709f7e48d6ecb66faf313115e21ec | ready | sMRI | d502bc59cbfea3cf8cda2d29aef62fb06b7709f7e48d6ecb66faf313115e21ec | [
{
"prior_label": "ad_spared_control",
"source_citation": "visual cortex spared in AD",
"source_collection": "external_nacc",
"source_id": "ad_cuneus",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_cuneus negative for AD compared with CN? | b1263d85f4a560761c142f4cbe87c3c7fe87a88df26e1f3ef14fecb1f22dcb85 | ncb-external-transfer-d502bc59cbfea3cf | 688ccd279b59e939f2c7d8b770f14658abc8c921a5f75714488f63db12f578c8 | ncb-sem-511c3e4b4a66958c | ad_aging | [
"ncb21-task-bb554719e6145756"
] |
[
"BD_lateralventricle"
] | aligned_with_safety_augmentation | ncb-external-transfer-d9c2200f2c768244 | external_transfer | ncb-claim-275c2b2bf1a68ee1 | {
"claim_id": "external_cnp_bd_lateralventricle",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "BIPOLAR",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_lateralventricle"... | d9c2200f2c768244d92d189817b7ffc77290ced3c9e8d3314da7aeaaa4e90944 | ready | sMRI | d9c2200f2c768244d92d189817b7ffc77290ced3c9e8d3314da7aeaaa4e90944 | [
{
"prior_label": "known_positive",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "BD_lateralventricle",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_lateralventricle positive for BIPOLAR compared with CONTROL? | 623e6810bddc6d55e0f5bb9b1d7a50d030da88be51ec27b0c8eeee4f015bf722 | ncb-external-transfer-d9c2200f2c768244 | 1627c0411879d439527acc1de22f6f58b5fbeaf359095659e6a87b41610c6e67 | ncb-sem-275c2b2bf1a68ee1 | psychosis | [
"ncb21-task-f92f5f7269378e53"
] |
[
"BD_caudate"
] | aligned_with_safety_augmentation | ncb-external-transfer-ddd73764077ec103 | external_transfer | ncb-claim-83a3420c79caa878 | {
"claim_id": "external_cnp_bd_caudate",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "BIPOLAR",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_caudate",
"predictor"... | ddd73764077ec10348da93d1d35e97680ce187d09150a66d48ab1c7ca7d700bd | ready | sMRI | ddd73764077ec10348da93d1d35e97680ce187d09150a66d48ab1c7ca7d700bd | [
{
"prior_label": "known_null",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "BD_caudate",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_caudate two_sided for BIPOLAR compared with CONTROL? | cb507c12e98e0c48a27fd4dac9ed7e9597c60339ee4580cb500632786f9cd015 | ncb-external-transfer-ddd73764077ec103 | 825fb3312dd5db1f50191822ae66cec1ac6b81fb4e699c4440c3a455b5c848a0 | ncb-sem-83a3420c79caa878 | psychosis | [
"ncb21-task-02f91dae643fb08f"
] |
[
"ADHD_thalamus"
] | aligned_with_safety_augmentation | ncb-external-transfer-e60c97d7572df957 | external_transfer | ncb-claim-7eb89457d6e9ce6b | {
"claim_id": "external_cnp_adhd_thalamus",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "ADHD",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_thalamus",
"predictor... | e60c97d7572df957cdf5dfebc4c3e37ea79df71ebd98929bb7f3c510c02f2301 | ready | sMRI | e60c97d7572df957cdf5dfebc4c3e37ea79df71ebd98929bb7f3c510c02f2301 | [
{
"prior_label": "known_null",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "ADHD_thalamus",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_thalamus two_sided for ADHD compared with CONTROL? | 9d0600146d2fb15941738d4f7a3c900294425ae8438d68fe435554faecd45ebd | ncb-external-transfer-e60c97d7572df957 | 04cd5ec4ac05d5b46394d035f1ac8815d6d80036cd8f90df3113b57d08e47b6b | ncb-sem-7eb89457d6e9ce6b | psychosis | [
"ncb21-task-2334fd77d5672850"
] |
[
"BD_accumbens"
] | aligned_with_safety_augmentation | ncb-external-transfer-eaaa2769700eae0e | external_transfer | ncb-claim-110fb16d8d4b9204 | {
"claim_id": "external_cnp_bd_accumbens",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "BIPOLAR",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_accumbens",
"predic... | eaaa2769700eae0e80a70ab4b04f2ae8fe5e524c5f43d23ef5a8e192b0b69523 | ready | sMRI | eaaa2769700eae0e80a70ab4b04f2ae8fe5e524c5f43d23ef5a8e192b0b69523 | [
{
"prior_label": "known_null",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "BD_accumbens",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_accumbens two_sided for BIPOLAR compared with CONTROL? | 7f994ebc658145f09bbcfb73c99b9710e8b3836d43af91fdcff20db068e71dfd | ncb-external-transfer-eaaa2769700eae0e | 834b43e9135e961349f2bbc68dd0cd72ea4595535a98e5219174cd572aa2a426 | ncb-sem-110fb16d8d4b9204 | psychosis | [
"ncb21-task-b0a7823a4e0c542b"
] |
[
"ad_cerebellum"
] | aligned_with_safety_augmentation | ncb-external-transfer-ec4fe05bc8c819f7 | external_transfer | ncb-claim-c5c5d5fae3364e73 | {
"claim_id": "external_nacc_ad_cerebellum",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_cerebellum",
"predic... | ec4fe05bc8c819f77f52fc16c1b49bfb65baae47ab32e076bac1d954680a7599 | ready | sMRI | ec4fe05bc8c819f77f52fc16c1b49bfb65baae47ab32e076bac1d954680a7599 | [
{
"prior_label": "ad_spared_control",
"source_citation": "cerebellum relatively spared in AD",
"source_collection": "external_nacc",
"source_id": "ad_cerebellum",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}... | In NACC, is smri_cerebellum negative for AD compared with CN? | f4395d06c9578d1034e9abe5d06d2827e70ee292be7e98cd9e834f1288ffbc67 | ncb-external-transfer-ec4fe05bc8c819f7 | 7867cbb4931ef3eac36a20f6adf884612cde515eb30acd242d91041df9936f8b | ncb-sem-c5c5d5fae3364e73 | ad_aging | [
"ncb21-task-07ed20b971d64049"
] |
[
"external_nacc_ad_parahippocampal_random_label_s20260724"
] | aligned_with_safety_augmentation | ncb-external-transfer-f1d779bf3ff46410 | external_transfer | ncb-claim-7ac25481c5bb7825 | {
"claim_id": "external_nacc_ad_parahippocampal_random_label_s20260724",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "A",
"control": "B",
"var": "ncb_random_group"
},
... | 4f3008493054070d99c337538fdc7b43c7924e3439236c135934493278247503 | ready | sMRI | 4f3008493054070d99c337538fdc7b43c7924e3439236c135934493278247503 | [
{
"prior_label": "known_null",
"source_citation": "deterministic random-label control seed=20260724",
"source_collection": "external_nacc_random_controls",
"source_id": "external_nacc_ad_parahippocampal_random_label_s20260724",
"source_mode": "external_random_control",
"source_path": "data/e... | Random-label control matched to external_nacc_ad_parahippocampal. | 7f4a270c5c61b59433e305d3ddea5f243b80d7a9e1f6d6909833be7f162fa3c4 | ncb-external-transfer-f1d779bf3ff46410 | ce2fdbf9155ff552a81945c331dac6a7eb9313df8854ea2d95cbadc22192dca8 | ncb-sem-7ac25481c5bb7825 | ad_aging | [
"ncb21-task-cc1ba1d90b8171c2"
] |
[
"ADHD_putamen"
] | aligned_with_safety_augmentation | ncb-external-transfer-f4db51596e08aa4e | external_transfer | ncb-claim-ea2ae86434a16888 | {
"claim_id": "external_cnp_adhd_putamen",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "ADHD",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_putamen",
"predictor": ... | f4db51596e08aa4e0830c89f9882979171c69ea3570d1c48501c64f2d35b7a66 | ready | sMRI | f4db51596e08aa4e0830c89f9882979171c69ea3570d1c48501c64f2d35b7a66 | [
{
"prior_label": "known_positive",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "ADHD_putamen",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_putamen negative for ADHD compared with CONTROL? | fd978b5ae0151f31957186f0712c9d8c4fde4906cf6ff34229da40b56586a592 | ncb-external-transfer-f4db51596e08aa4e | 83cf33f2e2e9ac41dfc44d313289148fb000e28bf8840b42f2f4b2a3c13febd5 | ncb-sem-ea2ae86434a16888 | psychosis | [
"ncb21-task-61e1f885b6a8ae8c"
] |
[
"ad_lateralventricle"
] | non_executable | ncb-external-transfer-f4e152e984bdd249 | external_transfer | ncb-claim-b74d7743c59ce81d | {
"claim_id": "external_nacc_ad_lateralventricle",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "AD",
"control": "CN",
"var": "dx"
},
"outcome": "smri_lateralventricle",... | f4e152e984bdd249ddb79b28625095a2fb6eeac221687d4c90069ad598fd27ac | non_executable | sMRI | f4e152e984bdd249ddb79b28625095a2fb6eeac221687d4c90069ad598fd27ac | [
{
"prior_label": "known_positive",
"source_citation": "AD ventricular enlargement",
"source_collection": "external_nacc",
"source_id": "ad_lateralventricle",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_lateralventricle positive for AD compared with CN? | c8ce53c26c085c4c7ded241d9055a3093ad43e79715b3e75b45d43985a579831 | ncb-external-transfer-f4e152e984bdd249 | 7e16f197bf1204f26f18269c3084d68a97bc9ae362d83779e31b4a9323846ba3 | ncb-sem-b74d7743c59ce81d | ad_aging | [] |
[
"mci_pericalcarine"
] | aligned_with_safety_augmentation | ncb-external-transfer-f58df52cceca9d39 | external_transfer | ncb-claim-b2110374bf984982 | {
"claim_id": "external_nacc_mci_pericalcarine",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "NACC_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "MCI",
"control": "CN",
"var": "dx"
},
"outcome": "smri_pericalcarine",
... | f58df52cceca9d39f9fb0be057d9e9c10ebcb6863e2a062a8847bdca42e77de9 | ready | sMRI | f58df52cceca9d39f9fb0be057d9e9c10ebcb6863e2a062a8847bdca42e77de9 | [
{
"prior_label": "ad_spared_control",
"source_citation": "primary visual spared in MCI",
"source_collection": "external_nacc",
"source_id": "mci_pericalcarine",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/nacc_claims.csv",
"target_family": "ad_aging"
}
] | In NACC, is smri_pericalcarine negative for MCI compared with CN? | ba27ae305e5d2673bb2d612fb3b9f4afb097ca5547af6df938e19c60589c4f69 | ncb-external-transfer-f58df52cceca9d39 | cba2622fbd098600f8655be0e5b2f48af34c9eabcbb4d3e9ac8567927b10865c | ncb-sem-b2110374bf984982 | ad_aging | [
"ncb21-task-e3df98fc3f59953d"
] |
[
"SCZ_caudate"
] | aligned_with_safety_augmentation | ncb-external-transfer-fc18a39ffb8c66fb | external_transfer | ncb-claim-2f96bb21f27facb1 | {
"claim_id": "external_cnp_scz_caudate",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "SCHZ",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_caudate",
"predictor": ... | fc18a39ffb8c66fb681c83d5e2c382c09f10fb5024d6d1c7f4f8b8860e260f02 | ready | sMRI | fc18a39ffb8c66fb681c83d5e2c382c09f10fb5024d6d1c7f4f8b8860e260f02 | [
{
"prior_label": "known_null",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "SCZ_caudate",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_caudate two_sided for SCHZ compared with CONTROL? | 60fe191239a61a263493aea1a1a7b286ecea8868d2e3268457dd7a2cfa4c4274 | ncb-external-transfer-fc18a39ffb8c66fb | 009244f0feaa3b134fbd991282e3c6293bc216bb4152af10feadb95a52c28797 | ncb-sem-2f96bb21f27facb1 | psychosis | [
"ncb21-task-afff5e156656f798"
] |
[
"ADHD_hippocampus"
] | aligned_with_safety_augmentation | ncb-external-transfer-fc82caeab42cbb0b | external_transfer | ncb-claim-8710a5bc636d93dc | {
"claim_id": "external_cnp_adhd_hippocampus",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "ds000030_EXTERNAL_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "ADHD",
"control": "CONTROL",
"var": "dx"
},
"outcome": "smri_hippocampus",
"pred... | fc82caeab42cbb0ba375c7a3cb5f9955c6f293db20dd90fef6283883c8209361 | ready | sMRI | fc82caeab42cbb0ba375c7a3cb5f9955c6f293db20dd90fef6283883c8209361 | [
{
"prior_label": "known_positive",
"source_citation": "",
"source_collection": "external_cnp",
"source_id": "ADHD_hippocampus",
"source_mode": "external_transfer",
"source_path": "data/external_benchmark/ds000030_claims.csv",
"target_family": "psychosis"
}
] | In CNP, is smri_hippocampus negative for ADHD compared with CONTROL? | e6d448c103f6ded476b98d67475bbc33b4e3ce95f27131ccebbe6f597a7671ca | ncb-external-transfer-fc82caeab42cbb0b | 16d1cf18da8dcbcfe503122ec9e9c9d495002cbddc40d471537a07e5fb047f48 | ncb-sem-8710a5bc636d93dc | psychosis | [
"ncb21-task-b41d1e817622f9ee"
] |
[
"miriad_ad"
] | non_executable | ncb-pending-34462bc3fe7aad1f | scientific | ncb-claim-34462bc3fe7aad1f | null | null | non_executable | unknown | null | [
{
"prior_label": "candidate_unknown",
"source_citation": "Jack et al. 2018 NIA-AA framework [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "miriad_ad",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "ad_aging"
... | For AD structural marker in MIRIAD in MIRIAD/sMRI, using MIRIAD as discovery and ADNI/OASIS3 as replication, test the claim with expected direction negative and adjust for age;sex;eTIV when available. | afbf41464b9fce6ca2feb01e6774b00929aa01d67bc30abc9bbbdcf916a68601 | ncb-pending-34462bc3fe7aad1f | ncb-sem-34462bc3fe7aad1f | ad_aging | [] | |
[
"nacc_csf_ptau_smri"
] | non_executable | ncb-pending-47bb812b9cbd8434 | scientific | ncb-claim-47bb812b9cbd8434 | null | null | non_executable | unknown | null | [
{
"prior_label": "candidate_unknown",
"source_citation": "[VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "nacc_csf_ptau_smri",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "ad_aging"
}
] | For CSF p-tau association with regional volumes in NACC/sMRI+CSF, using NACC_CSF_DISC as discovery and NACC_CSF_REP as replication, test the claim with expected direction negative and adjust for age;eTIV;site when available. | 9597ad3c016445896abcc0249314fe166790a63773247ca64a04ffb4e8de5f3f | ncb-pending-47bb812b9cbd8434 | ncb-sem-47bb812b9cbd8434 | ad_aging | [] | |
[
"ad_region_adni_oasis3"
] | non_executable | ncb-pending-4a9f7d09a17c74f8 | scientific | ncb-claim-4a9f7d09a17c74f8 | null | null | non_executable | unknown | null | [
{
"prior_label": "candidate_unknown",
"source_citation": "Jack et al. 2018 NIA-AA framework [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "ad_region_adni_oasis3",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "... | For AD diagnosis fMRI regional difference in fMRI-region, using ADNI_fMRI as discovery and OASIS3_fMRI as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | 22a5ff9d6af78ac3c60991f0063fa4fffedd02d8349680283e4ee8da6f47081e | ncb-pending-4a9f7d09a17c74f8 | ncb-sem-4a9f7d09a17c74f8 | ad_aging | [] | |
[
"nacc_csf_abeta_smri"
] | non_executable | ncb-pending-661468a337ef8336 | scientific | ncb-claim-661468a337ef8336 | null | null | non_executable | unknown | null | [
{
"prior_label": "candidate_unknown",
"source_citation": "[VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "nacc_csf_abeta_smri",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "ad_aging"
}
] | For CSF amyloid beta association with regional volumes in NACC/sMRI+CSF, using NACC_CSF_DISC as discovery and NACC_CSF_REP as replication, test the claim with expected direction positive and adjust for age;eTIV;site when available. | 772d0476519e06fd620f0aae7906cc3931a01bd647d0a83188708363dcdec6e0 | ncb-pending-661468a337ef8336 | ncb-sem-661468a337ef8336 | ad_aging | [] | |
[
"aibl_ad_smri"
] | non_executable | ncb-pending-6f8d67212a205367 | scientific | ncb-claim-6f8d67212a205367 | null | null | non_executable | unknown | null | [
{
"prior_label": "candidate_unknown",
"source_citation": "Jack et al. 2018 NIA-AA framework [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "aibl_ad_smri",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "ad_aging"... | For AD structural marker in AIBL in AIBL/AD, using AIBL as discovery and ADNI/OASIS3 as replication, test the claim with expected direction negative and adjust for age;sex;eTIV when available. | 53758ba03f3f27e634bab7ad2b6ed8515007e88d084cd98965c332ec34a3e245 | ncb-pending-6f8d67212a205367 | ncb-sem-6f8d67212a205367 | ad_aging | [] | |
[
"nacc_csf_ttau_smri"
] | non_executable | ncb-pending-936a5d784ee98820 | scientific | ncb-claim-936a5d784ee98820 | null | null | non_executable | unknown | null | [
{
"prior_label": "candidate_unknown",
"source_citation": "[VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "nacc_csf_ttau_smri",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "ad_aging"
}
] | For CSF t-tau association with regional volumes in NACC/sMRI+CSF, using NACC_CSF_DISC as discovery and NACC_CSF_REP as replication, test the claim with expected direction negative and adjust for age;eTIV;site when available. | 53fd7bf21ed0097118da019906f3556663499cd898358df1f52fde0c3c1c9609 | ncb-pending-936a5d784ee98820 | ncb-sem-936a5d784ee98820 | ad_aging | [] | |
[
"ad_dyno_adni_oasis3"
] | non_executable | ncb-pending-971e3a317a0b72b1 | scientific | ncb-claim-971e3a317a0b72b1 | null | null | non_executable | unknown | null | [
{
"prior_label": "candidate_unknown",
"source_citation": "Jack et al. 2018 NIA-AA framework [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "ad_dyno_adni_oasis3",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "ad... | For AD diagnosis fMRI dynamics difference in fMRI-dynamics, using ADNI_fMRI as discovery and OASIS3_fMRI as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | 50f11707fa2c40ccf0f1eb8a0028e25b909002f8c9958562d1755cde3da3920f | ncb-pending-971e3a317a0b72b1 | ncb-sem-971e3a317a0b72b1 | ad_aging | [] | |
[
"nacc_age_smri_split"
] | non_executable | ncb-pending-c109790dc989f6d7 | scientific | ncb-claim-c109790dc989f6d7 | null | null | non_executable | unknown | null | [
{
"prior_label": "known_positive",
"source_citation": "Fjell and Walhovd 2010 review",
"source_collection": "legacy_scientific",
"source_id": "nacc_age_smri_split",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "ad_aging"
}
] | For age association with regional brain volumes in NACC/sMRI, using NACC_DISC as discovery and NACC_REP as replication, test the claim with expected direction negative and adjust for eTIV;site when available. | 8e23f2c7a4ffc3f43d22700eee998804250dd049d0bae6d893295c0f1732b068 | ncb-pending-c109790dc989f6d7 | ncb-sem-c109790dc989f6d7 | ad_aging | [] | |
[
"nacc_mri_ad"
] | non_executable | ncb-pending-c92eff7950758b43 | scientific | ncb-claim-c92eff7950758b43 | null | null | non_executable | unknown | null | [
{
"prior_label": "candidate_unknown",
"source_citation": "Jack et al. 2018 NIA-AA framework [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "nacc_mri_ad",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "ad_aging"
... | For AD structural marker in NACC in NACC/sMRI, using NACC as discovery and ADNI/OASIS3 as replication, test the claim with expected direction negative and adjust for age;sex;eTIV when available. | 260cb2d99ba3cabf4f2f3f511ffc947dc5683fee4dfa46f266543c4113b75abb | ncb-pending-c92eff7950758b43 | ncb-sem-c92eff7950758b43 | ad_aging | [] | |
[
"ad_fc_adni_oasis3"
] | non_executable | ncb-pending-d98528cc9b996755 | scientific | ncb-claim-d98528cc9b996755 | null | null | non_executable | unknown | null | [
{
"prior_label": "candidate_unknown",
"source_citation": "Jack et al. 2018 NIA-AA framework [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "ad_fc_adni_oasis3",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "ad_a... | For AD diagnosis FC difference in fMRI-FC, using ADNI_fMRI as discovery and OASIS3_fMRI as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | 15a8a804f1242ccf904dffb4c425fceb8119508a51e053a94e73afa62112218e | ncb-pending-d98528cc9b996755 | ncb-sem-d98528cc9b996755 | ad_aging | [] | |
[
"adhd_q034"
] | aligned_with_safety_augmentation | ncb-scientific-03136ab7c6bb7990 | scientific | ncb-claim-b4a8d5bfb3357c42 | {
"claim_id": "adhd_q034",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_SomMot_z",
"predictor"... | 03136ab7c6bb7990d987f647394f6865d014527a752393660750e24e0cd5b01d | ready | fMRI-FC | 03136ab7c6bb7990d987f647394f6865d014527a752393660750e24e0cd5b01d | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q034",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ABCD_DISC and ABCD_REP separately, excluding missing dx, do ADHD cases (dx=1.0) differ from controls (dx=0.0) in Default-Somatomotor connectivity (fc_fc_Default_SomMot_z), with no additional covariates? | 16da99455100e73d7cbf0d1821891a26f50e588e4113c7461a6afac868eb9e9f | ncb-scientific-03136ab7c6bb7990 | b9998b52069e6ce1e9294fcd17aaa48a5f6eeffc72441fe597ab4c0e57fa86a9 | ncb-sem-b4a8d5bfb3357c42 | adhd | [
"ncb21-task-fd19e9541079da97"
] |
[
"sex_smri_hippocampus_gsp_oasis3_cn"
] | aligned_with_safety_augmentation | ncb-scientific-042202d5c660975c | scientific | ncb-claim-bf0084ade08ee738 | {
"claim_id": "sex_smri_hippocampus_gsp_oasis3_cn",
"covariates": [
"age",
"eTIV",
"site"
],
"discovery_cohort": "GSP_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "smri_hippocampus*",
"predict... | 042202d5c660975ce3b91ee7e685400356d305baaf7cc0193e6cae7f20c340b0 | ready | sMRI | 042202d5c660975ce3b91ee7e685400356d305baaf7cc0193e6cae7f20c340b0 | [
{
"prior_label": "candidate_unknown",
"source_citation": "Ritchie et al. 2018 Cerebral Cortex",
"source_collection": "legacy_scientific",
"source_id": "sex_smri_hippocampus_gsp_oasis3_cn",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_fami... | For sex difference in eTIV-adjusted hippocampal volume in sMRI, using GSP as discovery and OASIS3_CN as replication, test the claim with expected direction female_minus_male negative on hippocampal volume after age and eTIV adjustment and adjust for age;eTIV when available. | 271364dcac5fcb50955219f26ffdda02f2480812446fbee6c6e31b269aab528b | ncb-scientific-042202d5c660975c | beebc1382441cefd850960055e5dbc81474a556df49aaf22c3a9b0a4fbda2c68 | ncb-sem-bf0084ade08ee738 | normative_fmri | [
"ncb21-task-5dc738265f5849e3"
] |
[
"psychosis_q019"
] | aligned_with_safety_augmentation | ncb-scientific-047feb6835500e20 | scientific | ncb-claim-2166e66544e56e96 | {
"claim_id": "psychosis_q019",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ChineseSZ_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_within_network",
"predic... | 047feb6835500e20fce6c8866aa5f4319884079d3ece961fffa1950d3f67649b | ready | fMRI-FC | 047feb6835500e20fce6c8866aa5f4319884079d3ece961fffa1950d3f67649b | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q019",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In ChineseSZ_DISC, is fc_within_network lower in SZ than HC in an unadjusted comparison using dx as the only predictor and no covariates? | aef68fdadbfa0011b5691a1ead3ab683040408d7b7f68fc7d6d8f4a466b7a408 | ncb-scientific-047feb6835500e20 | d3617af993f9850718a5ecaf13969aed2425799aba29739fcd97a43f5a296c7d | ncb-sem-2166e66544e56e96 | psychosis | [
"ncb21-task-6b538cef1e94a9e0"
] |
[
"normative_fmri_023"
] | aligned_with_safety_augmentation | ncb-scientific-05c17620b6ff0817 | scientific | ncb-claim-383c02b5660c8b72 | {
"claim_id": "normative_fmri_023",
"covariates": [
"sex",
"site",
"phen_fluid_composite"
],
"discovery_cohort": "HCP_Aging_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "fc_fc_Default_Default_z",
"predictor": "age",
"region_set": null,
"type": "as... | 05c17620b6ff0817912306ae784d68f40f43538421d7a77238304c5941523117 | ready | fMRI-FC | 05c17620b6ff0817912306ae784d68f40f43538421d7a77238304c5941523117 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_023",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In HCP_Aging_DISC, with replication in HCP_Aging_REP, is higher age associated with lower default-mode within-network connectivity (fc_fc_Default_Default_z), adjusting for sex and cognition? | 3a2841b6dab54d00ae1fee08edd897a970baa824bb5a81813de4975bf70d6ec0 | ncb-scientific-05c17620b6ff0817 | 88def5bd9aa91e0d59be57f590e5cf33f43e1f7a9608cba3b08c1a73e2fda578 | ncb-sem-383c02b5660c8b72 | normative_fmri | [
"ncb21-task-873fe1c30cfa20cf"
] |
[
"pubmed_35583796_pmid35583796_rsfc_dmn_control_salience"
] | aligned | ncb-scientific-060910c2dae3c7c0 | scientific | ncb-claim-e1b475cbc75c2430 | {
"claim_id": "pubmed_35583796_pmid35583796_rsfc_dmn_control_salience",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcom... | 060910c2dae3c7c0bc483bb7456953e7717bc55f016c82a246c15256e99ca483 | ready | fMRI-FC | 060910c2dae3c7c0bc483bb7456953e7717bc55f016c82a246c15256e99ca483 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:35583796; DOI:10.1007/7854_2022_345",
"source_collection": "stage2_current",
"source_id": "pubmed_35583796_pmid35583796_rsfc_dmn_control_salience",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-... | For literature-grounded ADHD diagnosis versus controls effect on between-network functional connectivity involving DMN, fronto-parietal control network, and salience network in resting-state fMRI functional connectivity, using ABCD as discovery and ADHD200 as replication, test the claim with expected direction two_side... | 9c735d4dc9edc40d7030cd4f4556ebf3845fcc2b93b86bd6cd8b91a15d0c66fa | ncb-scientific-060910c2dae3c7c0 | 697ba59c803d85328cce749b19fb714eeef1c0b25e15f34edbe04b2b9e12a42c | ncb-sem-e1b475cbc75c2430 | adhd | [
"ncb21-task-ae6661191cc66113"
] |
[
"normative_fmri_038"
] | aligned_with_safety_augmentation | ncb-scientific-06e24b7117348843 | scientific | ncb-claim-da6fffbb9611f2ab | {
"claim_id": "normative_fmri_038",
"covariates": [
"age",
"phen_fluid_composite",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "fc_fc_Default_Default_z",
... | 06e24b71173488433aa6f5a40a6db8bea7b0468cbafdaa0253d8d8563a1b8453 | ready | fMRI-FC | 06e24b71173488433aa6f5a40a6db8bea7b0468cbafdaa0253d8d8563a1b8453 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_038",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Among ABCD participants with dx=0.0, in ABCD_DISC with replication in ABCD_REP, do females and males differ in default-mode within-network connectivity (fc_fc_Default_Default_z), adjusting for age and cognition? | c51c14ab89246e0c5dc85eeba616ebd7c7a82f1294cfd72370525a2e0834ede2 | ncb-scientific-06e24b7117348843 | a909daee5e640e08cbd228f41f13e098e071d4c3b86034dcd01134b3df6de1c6 | ncb-sem-da6fffbb9611f2ab | normative_fmri | [
"ncb21-task-f47f4ac6f0d026ab"
] |
[
"pubmed_28040544_pmid28040544_asd_fc_selffacetom"
] | aligned | ncb-scientific-08c6866776e43268 | scientific | ncb-claim-580187b9bd3e8743 | {
"claim_id": "pubmed_28040544_pmid28040544_asd_fc_selffacetom",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "f... | 08c6866776e432686055fe502dc79eaebce0f6916de3c9ca15c72b7849a8070b | ready | fMRI-FC | 08c6866776e432686055fe502dc79eaebce0f6916de3c9ca15c72b7849a8070b | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:28040544; DOI:10.1016/j.neuroimage.2016.12.068",
"source_collection": "stage2_current",
"source_id": "pubmed_28040544_pmid28040544_asd_fc_selffacetom",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-ga... | For literature-grounded Autism diagnosis versus control status effect on Resting-state functional connectivity in KEA-defined self, face-processing, and theory-of-mind networks in fMRI-FC, using ABIDE2 as discovery and ABIDE2 as replication, test the claim with expected direction negative and adjust for age;sex;site wh... | b76b93e731d6ea39098fb80399504073687d4bc603f27a4bd932f59cfdcda49b | ncb-scientific-08c6866776e43268 | 7f93d41f928ddd24092f6151662743954b4d7eaf32ca6bcb1752be4a0c1556b2 | ncb-sem-580187b9bd3e8743 | asd | [
"ncb21-task-6fea1e2f03994aa9"
] |
[
"asd_q012"
] | aligned_with_safety_augmentation | ncb-scientific-08efd1786e5b448a | scientific | ncb-claim-3c909cffd2f141c3 | {
"claim_id": "asd_q012",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_Default",
"predictor": "... | 08efd1786e5b448a84158f5fd3ce228ce6c198e48d98d9822b46850721e8ef2c | ready | fMRI-FC | 08efd1786e5b448a84158f5fd3ce228ce6c198e48d98d9822b46850721e8ef2c | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q012",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Cont_Default differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 9763df7a7dd31b105295896e054169d61cc3598bb9a9102307e7c70996ef8888 | ncb-scientific-08efd1786e5b448a | d647909b7af62caf138f5594de84a4dba7b5f392ecab6a80397767ee36322c30 | ncb-sem-3c909cffd2f141c3 | asd | [
"ncb21-task-26de2f66465b717e"
] |
[
"ad_aging_q034"
] | aligned_with_safety_augmentation | ncb-scientific-0945ff60b5d68ba8 | scientific | ncb-claim-e7f683ba9f4d54de | {
"claim_id": "ad_aging_q034",
"covariates": [
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "smri_entorhinal",
"predictor": "age",
"region_set": null,
"type": "association",
"unit": "scalar"
... | 0945ff60b5d68ba89a298e0d5c7f9a2de1625b057bca524e15324d9708ecf806 | ready | sMRI | 0945ff60b5d68ba89a298e0d5c7f9a2de1625b057bca524e15324d9708ecf806 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q034",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, among CN participants, is older age associated with lower smri_entorhinal, adjusting for sex? | 4cb9377ded9feb6d76bf5054a804e16afeeb4fa9f472aa35762588854bd2d7b8 | ncb-scientific-0945ff60b5d68ba8 | d200db352b9163511dea58bdcde2dc1a8a423dbc3b627c10d03e4b2fe7a625c2 | ncb-sem-e7f683ba9f4d54de | ad_aging | [
"ncb21-task-3df4d7ede4eced5b"
] |
[
"pubmed_38422833_pmid38422833_cortical_fnc"
] | aligned | ncb-scientific-09903e42ed156c26 | scientific | ncb-claim-acc9140cbcc764b1 | {
"claim_id": "pubmed_38422833_pmid38422833_cortical_fnc",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "BSNIP2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_",
... | 09903e42ed156c2690cdbe27471b1d9877a5a23f33b016ead3e1b12870fef1fc | ready | fMRI-FC | 09903e42ed156c2690cdbe27471b1d9877a5a23f33b016ead3e1b12870fef1fc | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:38422833; DOI:10.1016/j.nicl.2024.103584",
"source_collection": "stage2_current",
"source_id": "pubmed_38422833_pmid38422833_cortical_fnc",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt5... | For literature-grounded first-episode or early psychosis versus controls without a psychiatric disorder effect on cortical functional network connectivity in rs-fMRI functional connectivity, using BSNIP2 as discovery and COBRE as replication, test the claim with expected direction two_sided and adjust for age;sex;site ... | 2b3aaeaee648421d90f5cebc8afa825e590bccaaffd0465c374864d091b40dbb | ncb-scientific-09903e42ed156c26 | 68a17b9ed9a90a3949cef1142b1b0ef87a4c60821325aa6a852d315411990c36 | ncb-sem-acc9140cbcc764b1 | psychosis | [
"ncb21-task-8584aa7cd91b1892"
] |
[
"asd_q020"
] | aligned_with_safety_augmentation | ncb-scientific-09bce8d2747a588b | scientific | ncb-claim-d8da72dac171db8f | {
"claim_id": "asd_q020",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_Limbic",
"predictor":... | 09bce8d2747a588b48e78179d64eef021ef591c62d258c96db87fa1a187763be | ready | fMRI-FC | 09bce8d2747a588b48e78179d64eef021ef591c62d258c96db87fa1a187763be | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q020",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Default_Limbic differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 84af72908c7b8f321c78d60aac374797544378b154f67c119a75696f810078ef | ncb-scientific-09bce8d2747a588b | fab01154d6c71c30855e10af8840ebc9d8582145c4279bcd7cf1d879064faf5e | ncb-sem-d8da72dac171db8f | asd | [
"ncb21-task-ba5da3b4e0cc513f"
] |
[
"ad_aging_q037",
"ad_aging_q040"
] | aligned_with_safety_augmentation | ncb-scientific-0b054fd85acaa063 | scientific | ncb-claim-2e39c87cf3178a9c | {
"claim_id": "ad_aging_q037",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "OASIS3_fMRI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "2",
"control": "0",
"var": "dx"
},
"outcome": "fc_fc_Default_Default_z",
"predictor": "dx"... | 0b054fd85acaa06382e368b06e24cb23876d673dda29faac3b690645e449b6d5 | ready | fMRI-FC | 0b054fd85acaa06382e368b06e24cb23876d673dda29faac3b690645e449b6d5 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q037",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In OASIS3_fMRI_DISC, with OASIS3_fMRI_REP as a replication cohort, is diagnosis code 2 associated with lower fc_fc_Default_Default_z than diagnosis code 0, adjusting for age and sex? | bb0702c42caf974ef7f34c2f9d387c0bf6e1c67a9e7c41134334a9af131dea6b | ncb-scientific-0b054fd85acaa063 | b8b4ef90332019d8a52137f316a51b0fb1205f22805b88155bdc0003dc62b925 | ncb-sem-2e39c87cf3178a9c | ad_aging | [
"ncb21-task-e84b490f18a61545"
] |
[
"adhd_q021"
] | repairable_contract | ncb-scientific-0bccd4e0b2409e23 | scientific | ncb-claim-860a47454142ac22 | {
"claim_id": "adhd_q021",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "1",
"control": "0",
"var": "dx"
},
"outcome": "fc_fc_Cont_Default_z",
"predictor": "dx",
"reg... | 89eeb82766aa49d0eae879688b4dcfa871807b5faa70ce3bb14f16084b4beb4c | ready | fMRI-FC | 0bccd4e0b2409e237c36e6941be3ed85299ce31401a8e95189e7800e5d393c99 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q021",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC, among diagnostic categories, does ADHD-combined type (dx=1) differ from controls (dx=0) in Control-Default connectivity (fc_fc_Cont_Default_z), with no additional covariates, and is the same contrast evaluable in ADHD200_REP? | e29b95fbe57d2d0bc975e13e732b5659c268a8998d0f486786a226e7fff9c820 | ncb-scientific-0bccd4e0b2409e23 | 70f8501e93817b3ed1124b91c60d8b11a9e7a7755259d4c0663145e87f037a44 | ncb-sem-860a47454142ac22 | adhd | [
"ncb21-task-29da26499534583a"
] |
NeuroClaimBench v2.1
NeuroClaimBench evaluates whether a system supports or withholds a neuroimaging claim.
The package contains 489 executable tasks: 279 scientific claims, 150 constructed stress controls, and 60 external-transfer claims and controls. The inventory also includes 55 cases excluded from execution because of ambiguous question-plan alignment, unavailable analysis inputs, or invalid designs. Questions, analysis plans, reference labels, and recorded CONFIRM outcomes are provided as JSONL files.
Code: CONFIRM · Dataset: Hugging Face
Load from Hugging Face
Install the dataset library:
python -m pip install datasets
Load an individual record collection:
from datasets import load_dataset
tasks = load_dataset("stanjsx/NeuroClaimBench", "tasks", split="test", revision="v2.1.1")
print(tasks[0]["task_id"])
print(tasks[0]["contract"])
The configurations are cases (544 rows), references (544), tasks (489),
and outcomes (489). Each uses a single test split. The default configuration
is cases; these are record collections for evaluation, with links described
in the data dictionary.
To download the complete benchmark for the command-line tools:
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="stanjsx/NeuroClaimBench",
repo_type="dataset",
revision="v2.1.1",
local_dir="neuroclaimbench-v2.1",
)
Install the tools
Use Python 3.10 or newer. CONFIRM supplies the neuroclaimbench command.
Download confirm-0.1.1-py3-none-any.whl from the
CONFIRM v0.1.1 release
into the directory containing the extracted neuroclaimbench-v2.1 folder.
Run from that parent directory:
python -m venv .venv
source .venv/bin/activate
python -m pip install ./confirm-0.1.1-py3-none-any.whl
To install from source,
extract confirm-0.1.1.zip and run python -m pip install ./confirm-0.1.1
from its parent directory. An existing CONFIRM installation provides the
same benchmark commands.
Verify and score
Run from the directory containing the extracted benchmark folder:
neuroclaimbench verify --benchmark neuroclaimbench-v2.1
neuroclaimbench predictions --benchmark neuroclaimbench-v2.1 \
--standard full --out outputs/confirm-full.jsonl
neuroclaimbench score --benchmark neuroclaimbench-v2.1 \
--predictions outputs/confirm-full.jsonl
These commands verify all files, export 489 decisions from the recorded gate results, and score agreement with the reference labels. They require no cohort data or model calls. Choose a new output filename for each export.
Guides
- Python loading, metrics, and evaluation
- File and field definitions
- Cohort data and exact-input requirements
Executing a task requires its corresponding prepared cohort files. The metadata package contains no participant tables, random-control assignment tables, or PubMed abstracts.
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