Joint distributions of Wind/Waves/Current in West Africa and derivation of multivariate extreme I-FORM contours
Bibliographic record
Abstract
In-situ measurements over a three year period have been extensively analysed from a statistical point of view. Distributions of wind and current (intensity and direction), together with waves systems- main swell, secondary swell and wind sea- (peak period, significant wave height, spectral width, direction) are analysed jointly, looking for possible correlation between the variables (principal component analysis, statistical tests,...). When correlation was proven, joint distributions have been estimated and modelled by analytical distribution laws. As distribution of extreme values may differ from distribution for intermediate values, matching of the two solutions is performed. Finally, I-FORM contours are derived based on the analytical laws. For coherence with extreme value prediction, some constraints are imposed so that 100 year extreme value estimation for the significant wave height, current velocity and wind velocity is consistent
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".