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Record W4400827194 · doi:10.1038/s41591-024-03033-3

Reporting guidelines for precision medicine research of clinical relevance: the BePRECISE checklist

2024· review· en· W4400827194 on OpenAlexfundno aff
Siew Lim, Zhila Semnani‐Azad, Mario Luca Morieri, Ashley Ng, Abrar Ahmad, Hugo Fitipaldi, Jacqueline Boyle, Christian Collin, John Dennis, Claudia Langenberg, Ruth J. F. Loos, Melinda Morrison, Michèle Ramsay, Arun J. Sanyal, Naveed Sattar, Marie‐France Hivert, Maria F. Gomez, Jordi Merino, Deirdre K. Tobias, Michael I. Trenell, Stephen S. Rich, Jennifer L Sargent, Paul W. Franks

Bibliographic record

VenueNature Medicine · 2024
Typereview
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchHorizon 2020 Framework ProgrammeNational Institutes of HealthInnovative Medicines InitiativeNovo Nordisk FondenNovo Nordisk Foundation Center for Basic Metabolic ResearchUniversitetet i BergenVetenskapsrådetAstellas PharmaMedicinska Fakulteten, Lunds UniversitetNovo NordiskHjärt-LungfondenFonds National de la Recherche LuxembourgMonash UniversityWorld Health OrganizationWellcome TrustDanmarks GrundforskningsfondStiftelsen för Strategisk ForskningMedical Research CouncilLeona M. and Harry B. Helmsley Charitable TrustDepartment of Health and Social CareGovernment of the United KingdomStiftelsen för Strategisk ForskningNational Institute for Health and Care ResearchEuropean CommissionNational Institute of Diabetes and Digestive and Kidney DiseasesSanofiLunds UniversitetAmgenMinistero della SalutePfizerJuvenile Diabetes Research Foundation United States of AmericaAstraZenecaEli Lilly and Company
KeywordsPrecision medicineChecklistMedicineMEDLINEAlternative medicineDelphi methodFamily medicineMedical educationPsychologyPathologyComputer science

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)0.399
metaresearch head score (Gemma)0.749
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.601
Threshold uncertainty score0.741

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3990.749
Meta-epidemiology (narrow)0.0050.009
Meta-epidemiology (broad)0.0110.020
Bibliometrics0.0330.029
Science and technology studies0.0060.007
Scholarly communication0.0160.008
Open science0.0140.015
Research integrity0.0190.025
Insufficient payload (model declined to judge)0.0150.012

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 head0.972
GPT teacher head0.797
Teacher spread0.174 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainReporting
GenreMethods

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

Citations35
Published2024
Admission routes1
Has abstractno

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