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Record W2077732126 · doi:10.4103/0973-1229.32145

The ICMJE and URM: Providing Independent Advice for the Conduct of Biomedical Research and Publication

2007· article· en· W2077732126 on OpenAlexaboutno aff
MartinB Van der Weyden

Bibliographic record

VenueMens Sana monographs · 2007
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsMedical journalPublishingTransparency (behavior)Advice (programming)Clinical trialConflict of interestPublic relationsAlternative medicineMedicineMedical educationPolitical scienceFamily medicineLawComputer sciencePathology

Abstract

fetched live from OpenAlex

The International Committee of Medical Journal Editors (ICMJE) is a working group of editors of selected medical journals that meets annually. Founded in Vancouver, Canada, in 1978, it currently consists of 11 member journals and a representative of the US National Library of Medicine. The major purpose of the Committee is to address and provide guidance for the conduct and publishing of biomedical research and the ethical tenets underpinning these activities. This advice is detailed in the Committee's Uniform Requirements for Manuscripts Submitted to Biomedical Journals: Writing and Editing for Biomedical Publication (URM).Recently, the ICMJE has adopted an interventionist role to ensure transparency of conflict of interest revelations in the conduct and publication of industry supported research. It also pursues a policy for the lodgement with trial registries of specified details of Phase III clinical trials. Failure to comply would jeopardise publication of trial outcomes in ICMJE member journals. This policy has resulted in the coming on stream of trial registries, international agreement on trial minimal datasets and compliance with trial registration requirements.

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 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)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.679
GPT teacher head0.628
Teacher spread0.051 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations10
Published2007
Admission routes1
Has abstractyes

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