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Record W2487943446 · doi:10.1503/cjs.009316

Datum isn’t; data are

2016· editorial· en· W2487943446 on OpenAlexvenueno aff
Vivian C. McAlister

Bibliographic record

VenueCanadian Journal of Surgery · 2016
Typeeditorial
Languageen
FieldArts and Humanities
TopicAcademic Writing and Publishing
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGeodetic datumSelection (genetic algorithm)Process (computing)Conflict of interestMEDLINEData scienceInformation retrievalLawArtificial intelligenceCartography

Abstract

fetched live from OpenAlex

Selection of manuscripts for publication in a scientific journal is a subjective process. Safeguards, such as using multiple independent reviewers, review templates and conflict of interest guidelines, try to make the process fair. It is clear to editors that some reviewers’ judgments are guided

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)0.039
metaresearch head score (Gemma)0.266
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.371
Threshold uncertainty score0.898

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.266
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0070.009
Science and technology studies0.0040.005
Scholarly communication0.0280.012
Open science0.0050.006
Research integrity0.0060.014
Insufficient payload (model declined to judge)0.3710.326

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 head0.108
GPT teacher head0.261
Teacher spread0.153 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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