Desarrollo de un sistema web sanitario para los centros de atención primaria
Bibliographic record
Abstract
Actualmente, el sistema sanitario español está colapsado y se producen diariamente largas listas de espera en los centros de atención primaria. Este problema se ha visto intensificado con la pandemia Covid-19, que ha revelado a las grandes masas las carencias de nuestro sistema sanitario. Los médicos se ven obligados a aumentar el cupo de pacientes que visitan en un día para dar abasto, lo que acaba afectando tanto a la calidad de la visita del paciente como a su propia salud mental. En la aplicación web que se desarrollará en este proyecto, se implementarán una serie de funcionalidades diseñadas para solucionar algunos de los problemas que padece el actual programa sanitario de atención primaria de Cataluña. Estas funcionalidades tendrán como objetivo principal reducir el tiempo que el personal sanitario invierte introduciendo o buscando información en el sistema.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".