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Record W2059211448 · doi:10.1371/journal.pone.0093324

Comment On: Valette et al. Melanocortin-4 Receptor Mutations and Polymorphisms Do Not Affect Weight Loss after Bariatric Surgery. PLOS ONE 2012; 7(11):E48221

2014· letter· en· W2059211448 on OpenAlexaffabout
Stephen Eyre, Philippe Froguel, Fritz Horber, John G. Kral

Bibliographic record

VenuePLoS ONE · 2014
Typeletter
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAffect (linguistics)Melanocortin 4 receptorMelanocortinGeneticsBiologyMedicineBioinformaticsReceptorPsychology

Abstract

fetched live from OpenAlex

1 Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada, 2 Centre National de la Recherche Scientifique (CNRS) Unite Mixte de Recherche (UMR) 8199, Lille Pasteur Institute, Lille, Nord, France, 3 Department of Genomics of Common Disease, Imperial College London, London, United Kingdom, 4 Department of Internal Medicine, Landesspital, Vaduz, Liechtenstein, 5 University of Berne, Berne, Switzerland, 6 Department of Surgery, State University of New York Downstate Medical Center, Brooklyn, New York, United States of America

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.003
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.039
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0030.001
Research integrity0.0390.028
Insufficient payload (model declined to judge)0.0080.009

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 head0.044
GPT teacher head0.237
Teacher spread0.193 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations32
Published2014
Admission routes2
Has abstractyes

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Same venuePLoS ONESame topicRegulation of Appetite and ObesityFrench-language works237,207