Journals are inconsistent in their choice of articles to be fast-tracked
Bibliographic record
Abstract
A study of accelerated publication versus the usual forms of publication in two leading medical journals shows that current practices for selecting articles to be “fast-tracked” are inconsistent. Authors of the study, which appears in CMAJ , the Canadian Medical Association's journal (2002;166:1137-43), are from four Canadian universities and the University of Lausanne, Switzerland. The researchers identified six articles from each of two journals—the New England Journal of Medicine and the Lancet —that were prereleased on the journals' websites, and they then matched them with 12 control articles, according to the journal, disease or procedure, theme area, and …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.435 | 0.775 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.029 | 0.026 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.020 | 0.011 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".