Importancia del conocimiento del costo para el Estomatólogo General Integral
Bibliographic record
Abstract
Se realizó un estudio descriptivo transversal con el propósito de conocer el nivel de conocimiento acerca del costo-beneficio, costo- efectividad, costo-utilidad de la especialidad de Estomatología, en residentes de dicha especialidad en la provincia Guantánamo, durante el primer trimestre del año 2017. El universo quedó constituido por 76 residentes, a los que se les aplicó una encuesta, con el objetivo de obtener un diagnóstico acerca del tema y trazar estrategias de trabajo para eliminar las deficiencias identificadas. Entre los resultados se encontró: mayor el número de residentes femeninas, en el grupo de 23-27 años se concentró el conocimiento superior sobre el tema. Las conclusiones indicaron que en la población estudiada existe desconocimiento acerca del costo y necesidad de capacitarlos.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.001 |
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; both teacher heads 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".