MétaCan
Menu
Back to cohort
Record W4406274446 · doi:10.1111/dme.15514

The missing piece: The clinical translation of precision diabetes medicine requires precision mental health care: A call to action from the international <scp>PsychoSocial</scp> Aspects of Diabetes (<scp>PSAD</scp>) Study Group

2025· article· en· W4406274446 on OpenAlexaff
Frans Pouwer, Katharine Barnard‐Kelly, Bryan Cleal, Debbie Cooke, Mary de Groot, Sonya S. Deschênes, Dominic Ehrmann, Anthony Vincent Fernandez, Lisbeth Frostholm, David Hopkins, Norbert Hermanns, Richard I. G. Holt, Marjolein M. Iversen, Thomas Kubiak, Christina Maar Andersen, Briana Mezuk, Giesje Nefs, Susanne S. Pedersen, Miranda T. Schram, Frank J. Snoek, Uffe Søholm, Timothy Skinner, Søren Skovlund, Marietta Stadler, Ragnhild B. Strandberg, Sarah Bro Trasmundi, Michael Vallis, Kirsty Winkley, Per Winterdijk, Maartje de Wit, Natalie Zaremba, Jane Speight

Bibliographic record

VenueDiabetic Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicinePsychosocialCall to actionPrecision medicineAction (physics)Diabetes mellitusMental healthGerontologyFamily medicinePsychiatryEndocrinologyAdvertisingPathology

Abstract

fetched live from OpenAlex

Contains fulltext : 328117.pdf (Publisher’s version ) (Open Access)

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)0.234
metaresearch head score (Gemma)0.402
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.234
Threshold uncertainty score0.945

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2340.402
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0070.007
Bibliometrics0.0040.004
Science and technology studies0.0080.022
Scholarly communication0.0280.042
Open science0.0080.018
Research integrity0.0430.067
Insufficient payload (model declined to judge)0.0200.008

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 head0.054
GPT teacher head0.404
Teacher spread0.350 · 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.

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

Citations7
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueDiabetic MedicineSame topicDiabetes Management and ResearchFrench-language works237,207