Posibles nevadas generalizadas en la Península (Mar 2017)
Bibliographic record
Abstract
Estudia el pasado si quieres pronosticar el futuro. CONFUCIOLa nieve es uno de los fenómenos meteorológicos de mayor impacto sobre las infraestructuras de la península ibérica, en especial sobre las vías de comunicación.Tan solo 2 cm de espesor son suficientes para ser considerada como fenómeno adverso por AEMET y dar lugar a un aviso dentro del plan Meteoalerta (Plan Nacional de Predicción y Vigilancia de Fenómenos Meteorológicos Adversos, cap.41 en la página 627).Con los valores adecuados de temperatura y humedad, cantidades mínimas de precipitación, en torno a 2 litros / m 2 , pueden llegar a acumular el espesor de nieve requerido para la emisión de un aviso meteorológico.En las precipitaciones en forma de lluvia equivocaciones en la predicción de ±2 litros / m 2 suelen ser irrelevantes, pero sucede que la nieve es un fenómeno en el que simplemente su ocurrencia ya tiene un impacto social de suma importancia.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".