Adquisición, evaluación y aplicación de los datos de oleaje estimados por los radares HF de la costa gallega
Bibliographic record
Abstract
Los radares son considerados como dispositivos de medición directa del \noleaje, con amplias posibilidades de resolución y cobertura espacial y temporal. En esta Tesis se han evaluado los \ndatos de oleaje generados por los radares de alta frecuencia (radares HF) del modelo Sesonde de CODAR, \ninstalados en la costa oeste de Galicia (noroeste de España). La validación se realizó frente a los datos de boyas y \nmodelos, con un enfoque basado en las características particulares de la geografía, climatología y oleaje de la \nzona de estudio, así como en las debilidades y fortalezas de la tecnología de los radares HF. También se ha \nanalizado la aplicación de los datos de los radares para la evaluación del recurso undimotriz, y su posterior \nutilización para calcular la producción de electricidad de dos dispositivos de aprovechamiento del oleaje (WECs).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".