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Record W1966315692 · doi:10.1503/cmaj.140165

Consent to publish is a matter of trust

2014· editorial· en· W1966315692 on OpenAlexvenueno aff
John Fletcher, Diane Kelsall

Bibliographic record

VenueCanadian Medical Association Journal · 2014
Typeeditorial
Languageen
FieldMedicine
TopicDigital Imaging in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsConfidentialityPublicationInformed consentAsk priceIdentification (biology)Internet privacyComputer scienceMedicineComputer securityLawAlternative medicinePathologyPolitical scienceBusiness

Abstract

fetched live from OpenAlex

Why do we ask authors to provide a consent form signed by the patient before we will publish an image or case history in CMAJ that might lead to the patient’s identification? Consent is needed because the information contained in the article arose out of a confidential relationship in which the

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)0.081
metaresearch head score (Gemma)0.477
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.931
Threshold uncertainty score0.429

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0810.477
Meta-epidemiology (narrow)0.0020.004
Meta-epidemiology (broad)0.0120.005
Bibliometrics0.0030.004
Science and technology studies0.0070.019
Scholarly communication0.0240.015
Open science0.0080.007
Research integrity0.0690.086
Insufficient payload (model declined to judge)0.0560.079

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 head0.007
GPT teacher head0.267
Teacher spread0.260 · 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
GenreEditorial

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

Citations0
Published2014
Admission routes1
Has abstractyes

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