Requisitos de uniformidad para manuscritos enviados a revistas biomédicas: Redacción y preparación de la edición de una publicación biomédica
Bibliographic record
Abstract
En el ano 1978 un grupo reducido de editores (directores) de revistas de medicina general se reunio de manera informal en Vancouver (Columbia Britanica) para establecer los requisitos basicos que debian cumplir los manuscritos que se presentaban a sus revistas. Este grupo se dio a conocer con el nombre de Grupo Vancouver. Los Requisitos de Uniformidad de los manuscritos, entre los que se incluyen los formatos de las referencias bibliograficas elaborados por la National Library of Medicine (NLM) de los EE.UU., fueron publicados por primera vez en 1979.
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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 | 0.113 | 0.276 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.019 | 0.025 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.020 | 0.008 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".