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Record W3090633392 · doi:10.1038/s42255-020-00279-2

RIPK1 gene variants associate with obesity in humans and can be therapeutically silenced to reduce obesity in mice

2020· article· en· W3090633392 on OpenAlexafffund
Denuja Karunakaran, Adam W. Turner, Anne‐Claire Duchez, Sébastien Soubeyrand, Adil Rasheed, David Smyth, David P. Cook, Majid Nikpay, Joshua W. Kandiah, Calvin Pan, Michèle Geoffrion, Richard Lee, Ludovic Boytard, Hailey Wyatt, My-Anh Nguyen, Paulina Lau, Markku Laakso, Bhama Ramkhelawon, Marcus Alvarez, Kirsi H. Pietiläinen, Päivi Pajukanta, Barbara C. Vanderhyden, Peter Liu, Scott B. Berger, Peter J. Gough, John Bertin, Mary‐Ellen Harper, Aldons J. Lusis, Ruth McPherson, Katey J. Rayner

Bibliographic record

VenueNature Metabolism · 2020
Typearticle
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersOffice of Extramural Research, National Institutes of HealthNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchNovo Nordisk FondenAcademy of FinlandU.S. Department of Health and Human ServicesGovernment of CanadaNational Psoriasis FoundationFondation LeducqHoward Hughes Medical Institute
KeywordsAdipose tissueInflammationBiologyRIPK1Proinflammatory cytokineEndocrinologyInternal medicineCancer researchImmunologyNecroptosisMedicineProgrammed cell deathApoptosisGenetics

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.269
Teacher spread0.255 · 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

Citations58
Published2020
Admission routes2
Has abstractno

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