Ítems de referencia para publicar Revisiones Sistemáticas y Metaanálisis: La Declaración PRISMA
Bibliographic record
Abstract
Artículo original: Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 2009;6:e1000097.The original authors have not revised and verified the Spanish translation, and not necessary endorse it. Los autores originales no han revisado ni verificado la traducción del manuscrito al español, y no necesariamente están de acuerdo con su contenido.Publicación del artículo original: 21 Julio 2009 Derechos: © 2009 Moher et al. Este es un artículo de acceso abierto distribuido bajo las condiciones de The Creative Commons Attribution License, que permite el uso ilimitado, su distribución y reproducción en cualquier medio, siempre y cuando se acredite el autor y su fuente original.Procedencia: No comisionado; revisión científica externa. Para promover la publicación de la Declaración PRISMA, el artículo se ha publicado como acceso abierto y se puede encontrar en la página web de PLoS Medicine (http://medicine.plosjournals.org/) y también se ha publicado en Annals of Internal Medicine, BMJ, Journal of Clinical Epidemiology, y Open Medicine. Los autores tienen unánimemente los derechos de este artículo. Para más detalles de su uso ver la página web de PRISMA (http://www.prisma-statement.org/).Traducción y adaptación al español: Mercedes Sotos-Prieto, Johana Prieto, Maria Manera, Eduard Baladia, Rodrigo Martínez-Rodríguez y Julio Basulto.Autor de correspondencia de la traducción: Mercedes Sotos-Prieto (merchesotosprieto@gmail.com)
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 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 | 0.415 | 0.847 |
| Meta-epidemiology (narrow) | 0.008 | 0.011 |
| Meta-epidemiology (broad) | 0.025 | 0.021 |
| Bibliometrics | 0.040 | 0.053 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.018 | 0.012 |
| Open science | 0.016 | 0.014 |
| Research integrity | 0.021 | 0.022 |
| Insufficient payload (model declined to judge) | 0.130 | 0.046 |
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".