An examination of historical mixed layer depths along Line P in the Gulf of Alaska
Bibliographic record
Abstract
Mixed layer depth (MLD) is computed, based upon historical measurements along Line P, in the Gulf of Alaska. Forty‐six years of data are used for the monthly climatological calculations. To examine variability, the data are divided into two periods, pre and post 1976. Mixed layers deepen in winter post 1976 in a number of coastal stations. Offshore, including at Station P, shoaling after 1976 is observed in February, but there is also a phase shift with the deepest winter mixed layers occurring in April during the same period (and reaching depths comparable to those seen in February prior to 1976). A pentadal analysis of MLDs at Station P is also carried out and no obvious regime shift in MLD is seen. Significant variability is seen in all seasons, but the variability does not correlate strongly with any of the identified North Pacific patterns of climate variability.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".