Dolor postoperatorio en mujeres sometidas a cesárea
Bibliographic record
Abstract
Objetivo: Estimar la incidencia, intensidad y calidad del dolor postoperatorio en mujeres sometidas a \ncesárea. \nMétodo: Estudio de corte transversal. Fueron entrevistadas 1062 mujeres sometidas a cesárea en el \nperiodo pre y post cirugía inmediatos. La intensidad del dolor y la calidad fueron evaluadas por la \nEscala Numérica del Dolor (0-10) y el Test de Dolor de McGill. Las variables se analizaron utilizando \nmedidas descriptivas y la incidencia de dolor postoperatorio calculado con un Intervalo de Confianza \ndel 95%. \nResultados: La incidencia de dolor fue del 92,7% (IC 95%: 90,9 - 94,2) y las puntuaciones de \nintensidad media en el momento de peor dolor, igual a 6,6 (dp=2,2) . Los descriptores más frecuentes \nescogidos fueron "dolorida" (91,6%), "dolorida a la palpación" (70,0%) y "palpitante" (56,1%). \nConclusiones: El dolor postoperatorio de alta intensidad es una realidad en este grupo, señalando la \nimportancia de la evaluación del dolor para la ejecución de las acciones curativas y preventivas para \nreducir las pérdidas en la recuperación de las mujeres
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".