Estudio aleatorio de tiempos de espera de pacientes según niveles de prioridad
Bibliographic record
Abstract
The study objective is to determine the waiting times of patients according to priority levels on the Loayza Hospital Emergency Service, Lima – Peru. Is un randomized, prospective, descriptive study that estimates the first assistance time, assistance length and total stay. The priority level was determined according to Andorran and Canadien Triage Model. Gomez percentil was used to value the results. The average times (minutes) of first assistance were: priority I = 35.6 +- 55.8, priority II = 50.8 +- 81.6, priority III = 31.5 +- 40.7, priority IV = 37.5 +- 67.8 y priority V = 40.8 +- 69.8. The length and total stay were directly related to the seriousness. The priority I, II y III didn’t perform with the Gomez percentil. The increased demand of emergengy services produces extend waiting times which affects negatively to the serious patients
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".