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Record W3049565965 · doi:10.1136/bmj.m2632

Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist

2020· article· en· W3049565965 on OpenAlex
Jean‐Paul Salameh, Patrick M. Bossuyt, Trevor A. McGrath, Brett D. Thombs, Christopher Hyde, Petra Macaskill, Jonathan J Deeks, Mariska Leeflang, Daniël A. Korevaar, Penny Whiting, Yemisi Takwoingi, Johannes B. Reitsma, Jérémie F. Cohen, Robert Frank, Harriet Hunt, Lotty Hooft, Anne WS Rutjes, Brian H Willis, Constantine Gatsonis, Brooke Levis, David Moher, Matthew D. F. McInnes

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMJ · 2020
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsJewish General HospitalUniversity of OttawaMcGill UniversityOttawa Hospital
FundersBirmingham Biomedical Research CentreDepartment of Health and Social CareUniversity of OttawaMedical Research CouncilNational Institute for Health and Care ResearchCanadian Institutes of Health Research
KeywordsSystematic reviewChecklistComputer scienceStatement (logic)Meta-analysisTest (biology)MedicineMEDLINEManagement scienceMedical physicsPsychologyPathologyEngineeringChemistryEpistemology

Abstract

fetched live from OpenAlex

PRISMA DTA is a checklist of 27 items to guide the reporting of diagnostic accuracy systematic reviews

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.092
metaresearch head score (Gemma)0.875
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0920.875
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0120.002
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.793
GPT teacher head0.569
Teacher spread0.224 · 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