Sea Ice Products for EUMETSAT Satellite Application Facility
Bibliographic record
Abstract
Le projet Océan et glace de mer (Ocean and Sea Ice project) du Centre SAF (Satellite Application Facility) est mené par EUMETSAT (European Meteorological Satellite Organization) et un consortium de centres météorologiques nationaux sousa l'égide de Météo France. À titre de membres de ce réseau, les Instituts météorologiques de Norvège et du Danemark ont développé et implanté des méthodes automatiques et opérationnelles pour la détermination des conditions de glace de mer à partir de données satellitaires. Un algorithme SSM/I amélioré de la concentration de glace et une nouvelle méthode multi-capteurs pour l'estimation du couvert de glace de mer à partir de données SSM/I, de scattéromètre et AVHRR ont été développés et testés. Dans cet article, on présente les produits concernant la glace de mer développés par le SAF avec une description des méthodes et quelques exemples.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.045 | 0.041 |
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".