OCEAN FRONTS AROUND ALASKA FROM SATELLITE SST DATA
Bibliographic record
Abstract
Long-term time series of satellite observations are used to survey ocean surface thermal fronts in the Gulf of Alaska, Bering, Chukchi and Beaufort Seas as well as in the upstream region of the Alaskan Current and farther south along the North American shelf to include British Columbia waters and the Columbia River Plume area, thus covering 45°N-75°N, 160°E-120°W. The Cayula-Cornillon algorithms for front detection and cloud screening were applied to the Pathfinder twice-daily 9-km resolution SST images from 1985-1996. A number of new frontal features have been identified in the Alaskan Seas; some previously known fronts have been systematically studied for the first time. Frontal frequency maps are provided for each of four Alaskan Seas. In the Gulf of Alaska and Bering Sea the SST fronts are best defined in spring (May) and fall (November), while being masked by surface heating in summer. In the Chukchi and Beaufort Seas the SST fronts are best seen in summer (August-September), when both seas are typically ice-free. Seasonal evolution of SST fronts is noted off the OregonWashington coasts and Vancouver Island, in Hecate Strait and Dixon Entrance.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".