Implementación del código estado epiléptico en México: tiempo es cerebro
Bibliographic record
Abstract
Introducción: El estado epiléptico es una urgencia neurológica. Se calcula una incidencia de 61 casos por 100,000 habitantes/año. Se estima una mortalidad entre el 20% y el 80%, siendo altamente dependiente de la eficacia y rapidez del manejo, la etiología y los factores de riesgo. Métodos: En esta síntesis narrativa, los autores revisaron la evidencia científica actual y elaboraron una propuesta de expertos para el manejo adaptada para México. Resultados y discusión: Sintetizamos los datos actuales de la evidencia médica para estado epiléptico, con un enfoque practico para la mejora del manejo de los pacientes con estado epiléptico. Conclusión: Los pacientes con estado epiléptico deben tratarse de forma estandarizada para prevenir morbimortalidad y utilizar de forma estandarizada un electroencefalograma continuo.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 teacher head, 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".