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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 9 new columns ({'brain_rsa_std', 'frac_of_ceiling_mean', 'brain_rsa_SemLocal', 'brain_rsa_pearson_mean', 'brain_n_cells', 'brain_rsa_Orth', 'brain_rsa_Sem', 'brain_rsa_Phon', 'brain_rsa_mean'}) and 9 missing columns ({'session', 'rsa_hi', 'rsa_lo', 'dataset', 'n_stim', 'task', 'rsa', 'rsa_kendall', 'rsa_pearson'}).

This happened while the csv dataset builder was generating data using

hf://datasets/BrainAlign/cdl-devai-wang2025/by-model/parc-mamba-seed0/checkpoints.csv (at revision ef04300cd678312049515429a18471b957f8225f), ['hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-mamba-seed0/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-mamba-seed0/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-mamba-seed1/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-mamba-seed1/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-mamba-seed2/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-mamba-seed2/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-pythia-seed0/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-pythia-seed0/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-pythia-seed1/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-pythia-seed1/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-pythia-seed2/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-pythia-seed2/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-rwkv-seed0/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-rwkv-seed0/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-rwkv-seed1/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-rwkv-seed1/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-rwkv-seed2/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-rwkv-seed2/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-1.4b-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-1.4b-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-160m-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-160m-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-1b-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-1b-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-410m-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-410m-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-70m-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-70m-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/ceiling-analysis/ceilings.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/overall/by_checkpoint.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/overall/claim_tests.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/overall/null_referenced.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/overall/null_summary.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/overall/summary_by_family.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              family: string
              model_ref: string
              step: int64
              tokens: int64
              brain_rsa_mean: double
              brain_rsa_std: double
              brain_rsa_pearson_mean: double
              brain_n_cells: int64
              frac_of_ceiling_mean: double
              brain_rsa_Orth: double
              brain_rsa_Phon: double
              brain_rsa_Sem: double
              brain_rsa_SemLocal: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1909
              to
              {'family': Value('string'), 'model_ref': Value('string'), 'dataset': Value('string'), 'step': Value('int64'), 'tokens': Value('int64'), 'task': Value('string'), 'session': Value('string'), 'n_stim': Value('int64'), 'rsa': Value('float64'), 'rsa_pearson': Value('float64'), 'rsa_kendall': Value('float64'), 'rsa_lo': Value('float64'), 'rsa_hi': Value('float64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 9 new columns ({'brain_rsa_std', 'frac_of_ceiling_mean', 'brain_rsa_SemLocal', 'brain_rsa_pearson_mean', 'brain_n_cells', 'brain_rsa_Orth', 'brain_rsa_Sem', 'brain_rsa_Phon', 'brain_rsa_mean'}) and 9 missing columns ({'session', 'rsa_hi', 'rsa_lo', 'dataset', 'n_stim', 'task', 'rsa', 'rsa_kendall', 'rsa_pearson'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/BrainAlign/cdl-devai-wang2025/by-model/parc-mamba-seed0/checkpoints.csv (at revision ef04300cd678312049515429a18471b957f8225f), ['hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-mamba-seed0/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-mamba-seed0/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-mamba-seed1/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-mamba-seed1/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-mamba-seed2/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-mamba-seed2/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-pythia-seed0/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-pythia-seed0/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-pythia-seed1/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-pythia-seed1/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-pythia-seed2/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-pythia-seed2/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-rwkv-seed0/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-rwkv-seed0/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-rwkv-seed1/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-rwkv-seed1/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-rwkv-seed2/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/parc-rwkv-seed2/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-1.4b-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-1.4b-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-160m-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-160m-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-1b-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-1b-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-410m-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-410m-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-70m-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/by-model/pythia-70m-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/ceiling-analysis/ceilings.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/overall/by_checkpoint.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/overall/claim_tests.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/overall/null_referenced.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/overall/null_summary.csv', 'hf://datasets/BrainAlign/cdl-devai-wang2025@ef04300cd678312049515429a18471b957f8225f/overall/summary_by_family.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

family
string
model_ref
string
dataset
string
step
int64
tokens
int64
task
string
session
string
n_stim
int64
rsa
float64
rsa_pearson
float64
rsa_kendall
float64
rsa_lo
null
rsa_hi
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-10
ds006239
10
5,242,880
Orth
ses-11
96
-0.002647
0.002514
-0.00158
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-20
ds006239
20
10,485,760
Orth
ses-11
96
-0.042961
-0.012182
-0.028081
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-30
ds006239
30
15,728,640
Orth
ses-11
96
-0.035404
-0.016355
-0.023498
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-50
ds006239
50
26,214,400
Orth
ses-11
96
-0.040933
-0.019519
-0.027288
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-70
ds006239
70
36,700,160
Orth
ses-11
96
-0.008305
-0.005045
-0.005624
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-100
ds006239
100
52,428,800
Orth
ses-11
96
0.024412
0.009108
0.016334
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-300
ds006239
300
157,286,400
Orth
ses-11
96
-0.036816
-0.018294
-0.024551
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-640
ds006239
640
335,544,320
Orth
ses-11
96
-0.03618
-0.01392
-0.023983
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1100
ds006239
1,100
576,716,800
Orth
ses-11
96
-0.045867
-0.014224
-0.03041
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1850
ds006239
1,850
969,932,800
Orth
ses-11
96
-0.031851
-0.009405
-0.021021
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-4000
ds006239
4,000
2,097,152,000
Orth
ses-11
96
-0.047885
-0.018042
-0.0317
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-10
ds006239
10
5,242,880
Orth
ses-11+
96
0.007125
0.004328
0.004849
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-20
ds006239
20
10,485,760
Orth
ses-11+
96
-0.026887
-0.012243
-0.017618
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-30
ds006239
30
15,728,640
Orth
ses-11+
96
-0.020321
-0.01686
-0.01325
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-50
ds006239
50
26,214,400
Orth
ses-11+
96
-0.027035
-0.020677
-0.018023
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-70
ds006239
70
36,700,160
Orth
ses-11+
96
-0.003232
-0.011355
-0.002283
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-100
ds006239
100
52,428,800
Orth
ses-11+
96
0.018589
0.002847
0.012452
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-300
ds006239
300
157,286,400
Orth
ses-11+
96
-0.027061
-0.019749
-0.017854
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-640
ds006239
640
335,544,320
Orth
ses-11+
96
-0.013411
-0.006759
-0.008809
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1100
ds006239
1,100
576,716,800
Orth
ses-11+
96
-0.019854
-0.013611
-0.013135
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1850
ds006239
1,850
969,932,800
Orth
ses-11+
96
-0.00505
-0.00546
-0.003297
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-4000
ds006239
4,000
2,097,152,000
Orth
ses-11+
96
-0.024397
-0.013393
-0.015843
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-10
ds006239
10
5,242,880
Phon
ses-11
96
-0.002647
0.002514
-0.00158
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-20
ds006239
20
10,485,760
Phon
ses-11
96
-0.042961
-0.012182
-0.028081
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-30
ds006239
30
15,728,640
Phon
ses-11
96
-0.035404
-0.016355
-0.023498
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-50
ds006239
50
26,214,400
Phon
ses-11
96
-0.040933
-0.019519
-0.027288
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-70
ds006239
70
36,700,160
Phon
ses-11
96
-0.008305
-0.005045
-0.005624
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-100
ds006239
100
52,428,800
Phon
ses-11
96
0.024412
0.009108
0.016334
null
null
parc-mamba-seed0
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End of preview.

Wang et al. (2025) — LM brain-alignment results

Language-model / fMRI representational-alignment results for Wang et al. (2025): word-level phonological and semantic reading tasks in children and adolescents aged 10-17

OpenNeuro accession ds006239 · cohort: children and adolescents, ages 10-17 · modality: reading (visual) · tasks: Orth, Phon, Sem, SemLocal · cells: 8 · rows: 1232

Layout follows BrainAlign/cdl-devai-results: by-model/<family>/{brain_alignment,checkpoints}.csv, overall/, ceiling-analysis/, provenance_tier_ledger.json.

Result: alignment is not distinguishable from a random seed

5 trained families (pythia-1.4b-full, pythia-160m-full, pythia-1b-full, pythia-410m-full, pythia-70m-full) and 9 PARC noise-seed baselines, scored identically. Cells where a real family exceeds all 9 noise seeds: 5 of 40, against 4.0 expected by chance.

Pooled across all three developmental datasets: 9/130 observed vs 13.0 expected (p = 0.91); per-cell means of real families vs noise seeds correlate at r = +0.863; 83.9% of variance is cell identity and 3.2% model family.

Interpretation

These RDMs have real inter-subject reliability (noise ceilings in ceiling-analysis/ceilings.csv), but the upstream pipeline's positive controls fail on this dataset. The claim supported here is "no LM alignment is detectable by this measurement"not "language models do not align with the developing brain." Read this as a result about the benchmark.

Negative results are published here deliberately: the per-cell nulls and the noise-seed baselines are the reusable part.

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