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Record W4413800920 · doi:10.1111/dom.70063

Impact of tirzepatide treatment on participant‐reported food craving and food preference: Secondary analyses of a phase 1 randomised controlled trial in people with obesity with dietary restriction

2025· letter· en· W4413800920 on OpenAlexaboutno aff
Alastair W. Knights, Éric Ravussin, Guillermo Sánchez‐Delgado, Hiroshi Nishiyama, Hui‐Rong Qian, Edward Pratt, Zvonko Miličević, Axel Haupt, Tamer Coşkun, Corby K. Martin

Bibliographic record

VenueDiabetes Obesity and Metabolism · 2025
Typeletter
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsnot available
FundersAlmond Board of CaliforniaPatient-Centered Outcomes Research InstituteEli Lilly and CompanyNational Institute for Health and Care ResearchWW InternationalHenry M. Jackson FoundationLeona M. and Harry B. Helmsley Charitable TrustNational Institutes of HealthNational Science Foundation
KeywordsMedicinePlaceboWeight lossCravingAppetiteObesityCalorieInternal medicineWeight managementType 2 diabetesRandomized controlled trialGlucagon-like peptide-1Diabetes mellitusEndocrinologyPsychiatryAlternative medicine

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 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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0050.008
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.065
GPT teacher head0.323
Teacher spread0.258 · 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 designRandomized trial
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

Citations6
Published2025
Admission routes1
Has abstractyes

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