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Record W1601709990 · doi:10.1038/nature13801

Human intracellular ISG15 prevents interferon-α/β over-amplification and auto-inflammation

2014· article· en· W1601709990 on OpenAlexaff
Xianqin Zhang, Dusan Bogunovic, Béatrice Payelle‐Brogard, Véronique François-Newton, Scott D. Speer, Chao Yuan, Stefano Volpi, Zhi Li, Özden Sanal, Davood Mansouri, İlhan Tezcan, Gillian Rice, Chun‐Yuan Chen, Nahal Mansouri, Seyed Alireza Mahdaviani, Yuval Itan, Bertrand Boisson, Satoshi Okada, Lu Zeng, Xing Wang, Hui Jiang, Wenqiang Liu, Tiantian Han, Delin Liu, Tao Ma, Bo Wang, Mugen Liu, Qing K. Wang, Dilek Yalnızoğlu, Lilliana Radoshevich, Gilles Uzé, Philippe Gros, Flore Rozenberg, Shen‐Ying Zhang, Emmanuelle Jouanguy, Jacinta Bustamante, Adolfo García‐Sastre, Laurent Abel, Pierre Lebon, Luigi D. Notarangelo, Yanick J. Crow, Stéphanie Boisson‐Dupuis, Jean‐Laurent Casanova, Sandra Pellegrini

Bibliographic record

VenueNature · 2014
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsMcGill University
FundersManchester Biomedical Research CentreNational Institutes of HealthNational Center for Research ResourcesGreater Manchester Comprehensive Local Research NetworkCentre National de la Recherche ScientifiqueLigue Contre le CancerNational Institute of Allergy and Infectious DiseasesHoward Hughes Medical InstituteCHIST-ERANational Center for Advancing Translational SciencesAgence Nationale de la RechercheEuropean CommissionInstitut National de la Santé et de la Recherche Médicale
KeywordsISG15InterferonIntracellularImmunityBiologyInnate immune systemCell biologyIntracellular parasiteInterferon gammaInflammationImmunologyEffectorUbiquitinImmune systemGeneticsGene

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.311
Teacher spread0.298 · 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

Citations566
Published2014
Admission routes1
Has abstractno

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