MétaCan
Menu
Back to cohort
Record W4401944527 · doi:10.1126/scitranslmed.adp1720

An autoimmune transcriptional circuit drives FOXP3 <sup>+</sup> regulatory T cell dysfunction

2024· article· en· W4401944527 on OpenAlexaff
Tomokazu S. Sumida, Matthew R. Lincoln, Liang He, Yongjin Park, Mineto Ota, Akiko Oguchi, Raku Son, Alice Yi, Helen A. Stillwell, Greta A. Leissa, Keishi Fujio, Yasuhiro Murakawa, Alexander M. Kulminski, Charles B. Epstein, B Bernstein, Manolis Kellis, David A. Hafler

Bibliographic record

VenueScience Translational Medicine · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersNational Institute on AgingMultiple Sclerosis SocietyNational Human Genome Research InstituteNancy Taylor Foundation for Chronic DiseasesNational Institute of Allergy and Infectious DiseasesRace to Erase MSNational Cancer InstituteNational Institutes of HealthYale UniversityNational Multiple Sclerosis Society
KeywordsFOXP3BiologyTranscription factorAutoimmunityChromatinAutoimmune diseaseEpigeneticsImmunologyGalectinTranscriptional regulationGeneticsCell biologyCancer researchGeneImmune systemAntibody

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.245
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueScience Translational MedicineSame topicT-cell and B-cell ImmunologyFrench-language works237,207