A DECADAL COMPARISON OF THE ARCTIC UPPER OCEAN HEAT CONTENT IN THE BEAUFORT SEA AND TRANSPOLAR DRIFT
Bibliographic record
Abstract
The Arctic has had a strong response to global climate change expressed through widespread melting of the perennial ice cover in the Canada Basin at an increasing rate. High resolution coupled atmospheric and ocean climate models significantly underestimate this reduction in late summer ice extent. In this study, long term ocean time series observations from ice tethered profilers (ITPs) and autonomous ocean flux buoys (AOFBs) enable the integration of upper ocean temperature structure to make estimates of ocean mixed layer heat content over seasonal time scales. Advanced Microwave Scanning Radiometer (AMSR) data are used to estimate open water fraction, which is a strong driver of ocean heating in the late summer. A primary hypothesis of this study is that there will be a significant difference in late summer ocean mixed layer heat content between the Beaufort Sea and the more convergent Transpolar Drift. The higher open water fraction increases the amount of solar radiation inputs into the upper ocean in the Beaufort Sea.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".