Criterios de Vancouver: Cómo citar y presentar referencias en documentos académicos
Bibliographic record
Abstract
Una cita bibliográfica es la especificación (número o autor/año) que se inserta en el texto para identificar la fuente que sustenta los datos, aseveraciones, ideas, teorías o investigaciones que se presentan o analizan en los documentos. Por otro lado, las referencias bibliográficas son los datos completos (autores, titulo, datos editoriales) de un documento académico (libro, artículo, tesis, memoria) o páginas web de organismos internacionales, universidades o asociaciones profesionales, con reconocimiento académico. En este sentido, los datos incluidos deben garantizar que el documento o información de la página web pueden ser recuperados para verificar lo señalado en el documento académico o científico que se esté elaborando. 1 Las referencias completas se listan al final del documento elaborado.
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 | 0.034 | 0.218 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.054 | 0.052 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.024 | 0.009 |
| Open science | 0.005 | 0.015 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.016 |
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".