Beaufort Gyre wintertime mixed layer depth and mixed layer properties derived from Ice-Tethered Profiler observations in the Arctic Ocean over 2006-2017
Bibliographic record
Abstract
This data contains properties of the December – May mixed layer in the Beaufort Gyre region of the Arctic Ocean. Properties, such as the depth and density of the mixed layer base, are derived from Ice-Tethered Profiler observations during 2006-2017. The Ice-Tethered Profiler data were collected and made available by the Ice-Tethered Profiler Program based at the Woods Hole Oceanographic Institution (https://www2.whoi.edu/site/itp/). This is the exact dataset used to investigate interannual variability in wintertime mixed layer depth and density in Cole and Stadler, 2019 (ST Cole, and J Stadler, 2019, Deepening of the winter mixed layer in the Canada Basin, Arctic Ocean over 2006-2017, Journal of Geophysical Research, 124, 4618-4630).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".