Model: potsu-potsu/bge-base-mrl-train36k
Author: potsu-potsu
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:36470, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, en, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:36470, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
widget: source_sentence: What are the targets of avapritinib?
sentences: Origins of DNA replication on eukaryotic genomes have been observed to fire 
during S phase in a coordinated manner. Studies in yeast indicate that origin 
firing is affected by several factors, including checkpoint regulators and 
chromatin modifiers. However, it is unclear what the mechanisms orchestrating 
this coordinated process are. Recent studies have identified factors that 
regulate the timing of origin activation, including Rif1 which plays crucial 
roles in the regulation of the replication timing program in yeast as well as in 
higher eukaryotes. In mammalian cells, Rif1 appears to regulate the structures 
of replication timing domains through its ability to organize chromatin loop 
structures. Regulation of chromatin architecture by Rif1 may be linked to other 
chromosome transactions including recombination, repair, or transcription. This 
review summarizes recent progress in the effort to elucidate the regulatory 
mechanisms of replication timing of eukaryotic replicons., Avapritinib (AYVAKIT™) is a potent and selective tyrosine kinase inhibitor of 
platelet-derived growth factor receptor alpha (PDGFRA) and KIT activation loop 
mutants. It is being developed by Blueprint Medicines for the treatment of 
gastrointestinal stromal tumours (GIST), solid tumours and systemic 
mastocytosis. Avapritinib is approved in the USA for PDGFRA exon 18 (including 
D842V) mutant GIST and is undergoing regulatory assessment in the USA as a 
4th-line treatment for GIST. Avapritinib is also undergoing regulatory 
assessment in the EU for PDGFRA D842V mutant GIST. This article summarizes the 
milestones in the development of avapritinib leading to this first approval for 
the treatment of adults with unresectable or metastatic GIST harbouring a PDGFRA 
exon 18 mutation, including PDGFRA D842V mutations. Clinical development of 
avapritinib is also underway for the treatment of systemic mastocytosis and 
late-stage solid tumours in several countries., PURPOSE: Primary chemotherapy provides an ideal opportunity to correlate gene 
expression with response to treatment. We used paraffin-embedded core biopsies 
from a completed phase II trial to identify genes that correlate with response 
to primary chemotherapy.
PATIENTS AND METHODS: Patients with newly diagnosed stage II or III breast 
cancer were treated with sequential doxorubicin 75 mg/M2 q2 wks x 3 and 
docetaxel 40 mg/M2 weekly x 6; treatment order was randomly assigned. 
Pretreatment core biopsy samples were interrogated for genes that might 
correlate with pathologic complete response (pCR). In addition to the individual 
genes, the correlation of the Oncotype DX Recurrence Score with pCR was 
examined.
RESULTS: Of 70 patients enrolled in the parent trial, core biopsies samples with 
sufficient RNA for gene analyses were available from 45 patients; 9 (20%) had 
inflammatory breast cancer (IBC). Six (14%) patients achieved a pCR. Twenty-two 
of the 274 candidate genes assessed correlated with pCR (p < 0.05). Genes 
correlating with pCR could be grouped into three large clusters: 
angiogenesis-related genes, proliferation related genes, and invasion-related 
genes. Expression of estrogen receptor (ER)-related genes and Recurrence Score 
did not correlate with pCR. In an exploratory analysis we compared gene 
expression in IBC to non-inflammatory breast cancer; twenty-four (9%) of the 
genes were differentially expressed (p < 0.05), 5 were upregulated and 19 were 
downregulated in IBC.
CONCLUSION: Gene expression analysis on core biopsy samples is feasible and 
identifies candidate genes that correlate with pCR to primary chemotherapy. Gene 
expression in IBC differs significantly from noninflammatory breast cancer., source_sentence: List markers for autophagy.
sentences: C/EBPbeta is an intrinsically repressed transcription factor that regulates 
genes involved in differentiation, proliferation, tumorigenesis, and apoptosis. 
C/EBPbeta acts as a repressor that is turned into an activator by the Ras 
oncoprotein through phosphorylation of a MAPK site. C/EBPbeta activation is 
accompanied by a conformational change. Active and repressive C/EBPbeta 
interacts with multisubunit Mediator complexes through the CRSP130/Sur2 subunit. 
The CRSP130/Sur2 subunit is common to two distinct types of Mediator complexes, 
characterized by CRSP70 and CDK8 proteins as transcriptionally active and 
inactive Mediator, respectively. Knockdown of CRSP130/Sur2 prevents Mediator 
binding and transactivation through C/EBPbeta. Oncogenic Ras signaling or 
activating mutations in C/EBPbeta selects the transcriptionally active Mediator 
complex that also associates with RNA polymerase II. These results show that a 
Ras-induced structural alteration of C/EBPbeta determines differential gene 
activation through selective interaction with distinct Mediator complexes., Sporadic inclusion body myositis (sIBM) and polymyositis (PM) are characterized 
by muscle inflammation, with sIBM showing additional degenerative alterations. 
In this study we investigated human beta defensins and associated TLRs to 
elucidate the role of the innate immune system in idiopathic inflammatory 
myopathies (IIM), and its association with inflammatory and degenerative 
alterations. Expression levels of human beta-defensin (HBD)-1, HBD-2, HBD-3 and 
TLR2, 3, 4, 7 and 9 were analysed by quantitative real-time PCR in skeletal 
muscle tissue. Localization of HBD-3, collagen 6, dystrophin, CD8-positive 
T-cells, CD-68-positive macrophages, β-amyloid, the autophagy marker LC3, and 
TLR3 were detected by immunofluorescence and co-localization was quantified. 
HBD-3 and all TLRs except for TLR9 were overexpressed in both IIM with 
significant overexpression of TLR3 in sIBM. HBD-3 showed characteristic 
intracellular accumulations near deposits of β-amyloid, LC3 and TLR3 in sIBM, 
and was detected in inflammatory infiltrations and macrophages invading necrotic 
muscle fibres in both IIM. The characteristic intracellular localization of 
HBD-3 near markers of degeneration and autophagy, and overexpression of 
endosomal TLR3 in sIBM hint at different pathogenetic mechanisms in sIBM 
compared with PM. This descriptive study serves as a first approach to the role 
of the innate immune system in sIBM and PM., Circular RNAs (circRNAs) are a large type of noncoding RNAs characterized by 
their circular shape resulting from covalently closed continuous loops. They are 
known to regulate gene expression in mammals. These tissue-specific transcripts 
are largely generated from exonic or intronic sequences of their host genes. 
Although several models of circRNA biogenesis have been proposed, the 
understanding of their origin is far from complete. Unlike other noncoding RNAs, 
circRNAs are widely expressed, highly conserved and stable in cytoplasm, which 
confer special functionalities to them. They are known to serve as microRNA 
(miRNA) sponges, regulators of alternative splicing, transcription factors and 
encode for proteins. The expression of circRNAs is associated with several 
pathological states and may potentially serve as novel diagnostic or predictive 
biomarkers. CircRNAs are known to regulate the expression of numerous 
cancer-related miRNAs. The circRNA-miRNA-mRNA axis is a known regulatory pattern 
of several cancer-associated pathways, with both agonist and antagonist effects 
on carcinogenesis. In consideration of their potential clinical relevance, 
circRNAs are at the center of ongoing research initiatives on cancer prevention 
and treatment. In this review, we discuss the current understanding of circRNAs 
and the prospects for their potential clinical application in the management of 
cancer patients., source_sentence: Where is X-ray free electron laser used?
sentences: The phase problem is inherent to crystallographic, astronomical and optical 
imaging where only the intensity of the scattered signal is detected and the 
phase information is lost and must somehow be recovered to reconstruct the 
object's structure. Modern imaging techniques at the molecular scale rely on 
utilizing novel coherent light sources like X-ray free electron lasers for the 
ultimate goal of visualizing such objects as individual biomolecules rather than 
crystals. Here, unlike in the case of crystals where structures can be solved by 
model building and phase refinement, the phase distribution of the wave 
scattered by an individual molecule must directly be recovered. There are two 
well-known solutions to the phase problem: holography and coherent diffraction 
imaging (CDI). Both techniques have their pros and cons. In holography, the 
reconstruction of the scattered complex-valued object wave is directly provided 
by a well-defined reference wave that must cover the entire detector area which 
often is an experimental challenge. CDI provides the highest possible, only 
wavelength limited, resolution, but the phase recovery is an iterative process 
which requires some pre-defined information about the object and whose outcome 
is not always uniquely-defined. Moreover, the diffraction patterns must be 
recorded under oversampling conditions, a pre-requisite to be able to solve the 
phase problem. Here, we report how holography and CDI can be merged into one 
superior technique: holographic coherent diffraction imaging (HCDI). An inline 
hologram can be recorded by employing a modified CDI experimental scheme. We 
demonstrate that the amplitude of the Fourier transform of an inline hologram is 
related to the complex-valued visibility, thus providing information on both, 
the amplitude and the phase of the scattered wave in the plane of the 
diffraction pattern. With the phase information available, the condition of 
oversampling the diffraction patterns can be relaxed, and the phase problem can 
be solved in a fast and unambiguous manner. We demonstrate the reconstruction of 
various diffraction patterns of objects recorded with visible light as well as 
with low-energy electrons. Although we have demonstrated our HCDI method using 
laser light and low-energy electrons, it can also be applied to any other 
coherent radiation such as X-rays or high-energy electrons., We study, using simulated experiments inspired by thin-film magnetic domain 
patterns, the feasibility of phase retrieval in x-ray diffractive imaging in the 
presence of intrinsic charge scattering given only photon-shot-noise limited 
diffraction data. We detail a reconstruction algorithm to recover the sample's 
magnetization distribution under such conditions and compare its performance 
with that of Fourier transform holography. Concerning the design of future 
experiments, we also chart out the reconstruction limits of diffractive imaging 
when photon-shot-noise and the intensity of charge scattering noise are 
independently varied. This work is directly relevant to the time-resolved 
imaging of magnetic dynamics using coherent and ultrafast radiation from x-ray 
free-electron lasers and also to broader classes of diffractive imaging 
experiments which suffer noisy data, missing data, or both., INTRODUCTION: Most cases of Charcot-Marie-Tooth (CMT) disease are caused by 
mutations in the peripheral myelin protein 22 gene (PMP22), including 
heterozygous duplications (CMT1A), deletions (HNPP), and point mutations 
(CMT1E).
METHODS: Single-nucleotide polymorphism (SNP) arrays were used to study PMP22 
mutations based on the results of multiplex ligation-dependent probe 
amplification (MLPA) and polymerase chain reaction-restriction fragment length 
polymorphism methods in 77 Chinese Han families with CMT1. PMP22 sequencing was 
performed in MLPA-negative probands. Clinical characteristics were collected for 
all CMT1A/HNPP probands and their family members.
RESULTS: Twenty-one of 77 CMT1 probands (27.3%) carried duplication/deletion 
(dup/del) copynumber variants. No point mutations were detected. SNP array and 
MLPA seem to have similar sensitivity. Fifty-seven patients from 19 CMT1A 
families had the classical CMT phenotype, except for 1 with concomitant CIDP. 
Two HNPP probands presented with acute ulnar nerve palsy or recurrent sural 
nerve palsy, respectively.
CONCLUSIONS: The SNP array has wide coverage, high sensitivity, and high 
resolution and can be used as a screening tool to detect PMP22 dup/del as shown 
in this Chinese Han population., source_sentence: Which syndromes are associated with heterochromia iridum?
sentences: BACKGROUND: The three-dimensional (3D) structure of the genome plays a crucial 
role in gene expression regulation. Chromatin conformation capture technologies 
(Hi-C) have revealed that the genome is organized in a hierarchy of 
topologically associated domains (TADs), sub-TADs, and chromatin loops. 
Identifying such hierarchical structures is a critical step in understanding 
genome regulation. Existing tools for TAD calling are frequently sensitive to 
biases in Hi-C data, depend on tunable parameters, and are computationally 
inefficient.
METHODS: To address these challenges, we developed a novel sliding window-based 
spectral clustering framework that uses gaps between consecutive eigenvectors 
for TAD boundary identification.
RESULTS: Our method, implemented in an R package, SpectralTAD, detects 
hierarchical, biologically relevant TADs, has automatic parameter selection, is 
robust to sequencing depth, resolution, and sparsity of Hi-C data. SpectralTAD 
outperforms four state-of-the-art TAD callers in simulated and experimental 
settings. We demonstrate that TAD boundaries shared among multiple levels of the 
TAD hierarchy were more enriched in classical boundary marks and more conserved 
across cell lines and tissues. In contrast, boundaries of TADs that cannot be 
split into sub-TADs showed less enrichment and conservation, suggesting their 
more dynamic role in genome regulation.
CONCLUSION: SpectralTAD is available on Bioconductor, 
http://bioconductor.org/packages/SpectralTAD/ ., Holoprosencephaly (HPE) is a congenital defect of the brain, median structures, 
and face resulting from an incomplete cleavage of the primitive brain during 
early embryogenesis. The authors report a case of trisomy 13 syndrome diagnosed 
at prenatal follow up. The preterm newborn lived only 5 hours, and died because 
of severe respiratory failure. The autopsy findings disclosed facial, skull, 
limbs, cardiac, and cerebral malformations. Among the latter, the presence of 
alobar HPE, the central theme of this report, was evident. The most common 
nonrandom chromosomal abnormality in patients with HPE is trisomy 13. The most 
severe variant, namely alobar HPE, is shown in this case report. Discussion on 
this severe anomaly, along with the case report with details of Patau's 
syndrome, is the goal of this report., BACKGROUND: Heterochromia iridis, asymmetry of iris pigmentation, has been well 
described with congenital Horner syndrome. Acquired heterochromia associated 
with lesions in the ocular sympathetic pathways in adulthood, however, is rare.
METHODS: Two cases are reported in which sympathectomy in adults resulted in 
ipsilateral Horner syndrome with heterochromia. In each case, pharmacologic 
testing with cocaine and hydroxyamphetamine was performed.
RESULTS: In both cases, sympathectomy occurred at the level of the second order 
neuron, but hydroxyamphetamine testing suggested at least partial third order 
neuron involvement.
CONCLUSION: Acquired heterochromia can occur in adults. The partial response to 
hydroxyamphetamine in the two cases presented may reflect trans-synaptic 
degeneration of the postganglionic neuron. A reduction in trophic influences on 
iris melanocytes may have contributed to the observed heterochromia., source_sentence: What is Pseudomelanosis duodeni?
sentences: Pseudomelanosis duodeni is a rare condition in which dark pigment accumulates in 
macrophages located in the lamina propria of the duodenal mucosa. Three cases 
are reported here and the literature is reviewed. No clinical association can be 
found that points clearly to the underlying etiology. Electron probe x-ray 
microanalysis was used to study the pigment in macrophage granules in 2 of our 
patients and demonstrated high iron and sulfur content. Iron accumulation in 
ferritinlike particles was detected in absorptive cell lysosomes. A possible 
mechanism for the accumulation of absorbed iron by macrophages is considered., Initiation of eukaryotic DNA replication requires phosphorylation of the MCM 
complex by Dbf4-dependent kinase (DDK), composed of Cdc7 kinase and its 
activator, Dbf4. We report here that budding yeast Rif1 (Rap1-interacting factor 
1) controls DNA replication genome-wide and describe how Rif1 opposes DDK 
function by directing Protein Phosphatase 1 (PP1)-mediated dephosphorylation of 
the MCM complex. Deleting RIF1 partially compensates for the limited DDK 
activity in a cdc7-1 mutant strain by allowing increased, premature 
phosphorylation of Mcm4. PP1 interaction motifs within the Rif1 N-terminal 
domain are critical for its repressive effect on replication. We confirm that 
Rif1 interacts with PP1 and that PP1 prevents premature Mcm4 phosphorylation. 
Remarkably, our results suggest that replication repression by Rif1 is itself 
also DDK-regulated through phosphorylation near the PP1-interacting motifs. 
Based on our findings, we propose that Rif1 is a novel PP1 substrate targeting 
subunit that counteracts DDK-mediated phosphorylation during replication. 
Fission yeast and mammalian Rif1 proteins have also been implicated in 
regulating DNA replication. Since PP1 interaction sites are evolutionarily 
conserved within the Rif1 sequence, it is likely that replication control by 
Rif1 through PP1 is a conserved mechanism., This year marks the 100th anniversary of the deadliest event in human history. 
In 1918-1919, pandemic influenza appeared nearly simultaneously around the globe 
and caused extraordinary mortality (an estimated 50-100 million deaths) 
associated with unexpected clinical and epidemiological features. The 
descendants of the 1918 virus remain today; as endemic influenza viruses, they 
cause significant mortality each year. Although the ability to predict influenza 
pandemics remains no better than it was a century ago, numerous scientific 
advances provide an important head start in limiting severe disease and death 
from both current and future influenza viruses: identification and substantial 
characterization of the natural history and pathogenesis of the 1918 causative 
virus itself, as well as hundreds of its viral descendants; development of 
moderately effective vaccines; improved diagnosis and treatment of 
influenza-associated pneumonia; and effective prevention and control measures. 
Remaining challenges include development of vaccines eliciting significantly 
broader protection (against antigenically different influenza viruses) that can 
prevent or significantly downregulate viral replication; more complete 
characterization of natural history and pathogenesis emphasizing the protective 
role of mucosal immunity; and biomarkers of impending influenza-associated 
pneumonia.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100
model-index: name: Biomedical MRL
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 768
type: dim_768
metrics: type: cosine_accuracy@1
value: 0.7454031117397454
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8500707213578501
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8910891089108911
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9236209335219236
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7454031117397454
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.6025459688826026
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.5270155586987271
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.4107496463932107
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.2250855612939271
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.39083578086577686
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.4920587987757972
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.626230051288883
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7029780298857469
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.8069851372892393
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.6478394926216507
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 512
type: dim_512
metrics: type: cosine_accuracy@1
value: 0.7340876944837341
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8415841584158416
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8826025459688827
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9193776520509194
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7340876944837341
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.6001885902876002
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.5230551626591231
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.40947666195190946
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.22084064700657996
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.38663251424675177
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.48277567466168336
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.6228226830239426
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.6974451148765582
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.797282840528951
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.6413853118418739
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 256
type: dim_256
metrics: type: cosine_accuracy@1
value: 0.7213578500707214
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8373408769448374
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8727015558698727
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9066478076379066
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7213578500707214
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.5898161244695899
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.5106082036775106
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.40282885431400284
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.21851800409940159
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.38143229614225316
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.4684035311435285
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.605079189964237
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.6838557382875731
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7865545227992186
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.6256997609817881
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 128
type: dim_128
metrics: type: cosine_accuracy@1
value: 0.6987270155586988
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8161244695898161
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.842998585572843
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8925035360678925
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6987270155586988
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.5605846298915605
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.4862800565770863
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.37850070721357854
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.2107728574016154
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.3586858510427449
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.437764794946033
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.5727124785732842
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.6485243360567318
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7642615792191463
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.5843572398023539
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 64
type: dim_64
metrics: type: cosine_accuracy@1
value: 0.6393210749646393
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7637906647807637
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8132956152758133
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8472418670438473
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6393210749646393
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.5134370579915134
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.4517680339462518
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.3490806223479491
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.1844044968212152
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.3196269161523018
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.398801159559495
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.5072426828594248
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.5876796250069416
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7114153252059898
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.5187521840685396
name: Cosine Map@100
verified: no
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Created: 2025-06-13 15:19:30