Unidad de Medicina Materno Fetal Departamento de finecologia y obstetricia
Bibliographic record
Abstract
El diploma “Gorgas” en Medicina Tropical de la Universidad de Alabama en Birmingham (UAB) Estados Unidos, es la instancia academica de mayor relevancia para medicos clinicos, en este tema a nivel del continente Americano. Es desarrollado en Sudamerica, donde existen numerosas zonas endemicas de infecciones tropicales, cuenta con profesores internacionales poseedores de experiencia clinica y cientifica, en el campus de la prestigiada Universidad Peruana Cayetano Heredia(UPCH) y con el apoyo del instituto de medicina tropical” Alexander Von Humboldt”. Su principal caracteristica es ser un diplomado eminentemente practico, con actividades de laboratorio y rondas clinicas, evaluando pacientes afectados por las enfermedades tropicales con apoyo de clinicos expertos, en hospitales de referencia para las ciudades Peruanas de la costa(Lima), Sierra(Cusco) y Selva Amazonica(Iquito).En la version 2012 la participacion incluyo alumnos de Sudamerica(Chile, Brasil), Norteamerica (Canada, Estados Unidos), Africa(Kenia, Etiopia, Nigeria), Europa(Inglaterra, Italia, Alemania, Francia, Suiza)y Asia(India, Japon).Esto permitio un fluido intercambio de experiencia y conocimientos, enriqueciendo el proceso academico, considerando que nos desempenamos en diferentes especialidades y ambitos de la salud publica o privada de nuestros respecticos paises, con realidades absolutamente disimiles. Debido a las migraciones y a viajes de turismo o turismo aventura, existe riesgo de contraer enfermedades infecciosas tropicales en esos paises, con el consiguiente desafio clinico.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.091 | 0.024 |
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".