Peligrosidad de heladas por inversión térmica en la huerta de Murcia
Bibliographic record
Abstract
En el Sureste peninsular son frecuentes las situaciones anticiclónicas alimentadas en invierno por advecciones de aire polares/árticas continentales. Bajo estas condiciones, las cuencas y valles fluviales intrabéticos son bastante proclives al desarrollo de inversiones térmicas. Un claro ejemplo lo constituye la Vega Media del Segura en los meses de invierno. En el presente artículo se analizan tales factores y las situaciones de inversión térmica más importantes registradas en esta Vega durante el período 2000-2013. Como complemento al estudio, se realiza una propuesta de cartografía de peligrosidad de heladas en la Huerta de Murcia para los diferentes meses invernales. Palabras claves: Inversión térmica, anticiclón,
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".