La inmunización universal antigripal podría reducir más la mortalidad y la utilización de los servicios de salud que la inmunización dirigida a grupos de riesgo
Bibliographic record
Abstract
Conclusiones de los autores del estudio: la inmunización universal antigripal iniciada el año 2000 en Ontario (Canadá), comparada con la inmunización en otras provincias, produjo una disminución relativa de la mortalidad asociada a la gripe y de la utilización de asistencia médica. Los resultados de este experimento natural a gran escala, sugieren que la vacunación universal podría ser una medida de salud pública efectiva para reducir la carga anual de gripe.\n\nComentario de los revisores: este estudio tiene algunas limitaciones que podrían circunscribir la generalización de sus resultados. La mayor efectividad de la inmunización universal antigripal debiera corroborarse con estudios experimentales. Es necesario conocer el coste-efectividad de esta estrategia
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".