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Record W1995300913 · doi:10.1371/journal.pmed.0050139

Guidelines for Reporting Health Research: The EQUATOR Network's Survey of Guideline Authors

2008· article· en· W1995300913 on OpenAlexafffund
Iveta Simera, Douglas G. Altman, David Moher, Kenneth F. Schulz, John Hoey

Bibliographic record

VenuePLoS Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsChildren's Hospital of Eastern OntarioQueen's University
FundersMedical Research CouncilCancer Research UKUniversity of Ottawa
KeywordsGuidelineMedicineFamily medicineSurvey researchEnvironmental healthData sciencePsychologyComputer sciencePathologyApplied psychology

Abstract

fetched live from OpenAlex

dissemination and implementation of research findings.improve accuracy and reliability of research reports, providing

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)0.337
metaresearch head score (Gemma)0.662
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.663
Threshold uncertainty score0.818

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3370.662
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0110.018
Science and technology studies0.0030.003
Scholarly communication0.0070.007
Open science0.0040.007
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.956
GPT teacher head0.688
Teacher spread0.268 · 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 designObservational
DomainReporting
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

Citations216
Published2008
Admission routes2
Has abstractyes

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