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Record W1592308846 · doi:10.1038/ni.3194

The deacetylase Sirt1 is an essential regulator of Aire-mediated induction of central immunological tolerance

2015· article· en· W1592308846 on OpenAlexaff
Anna Chuprin, Ayelet Avin, Yael Goldfarb, Yonatan Herzig, Ben Levi, Adi Jacob, Asaf Sela, Shir Katz, Moran Grossman, C. Guyon, M. Rathaus, Haim Cohen, Irit Sagi, Matthieu Giraud, Michael W. McBurney, Eystein S. Husebye, Jakub Abramson

Bibliographic record

VenueNature Immunology · 2015
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsOttawa Hospital
FundersNovo Nordisk FondenNational Metal and Materials Technology Center
KeywordsAutoimmune regulatorRegulatorSirtuinSirtuin 1BiologyTranscriptional regulationCell biologyCentral toleranceAutoimmunityRegulation of gene expressionHDAC4Immune toleranceGeneGene expressionTranscription factorImmunologyGeneticsAntigenDownregulation and upregulationAcetylationImmune system

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.298
Teacher spread0.281 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations84
Published2015
Admission routes1
Has abstractno

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