Temperature Changes in First Year Arctic Sea Ice During the Decay Process.
Bibliographic record
Abstract
Measurements of the seasonal deterioration of landfast, first year sea ice were made in McDougall Sound, Eastern Canadian Arctic, from early May to July 2002. Ice temperatures were obtained from a temperature chain that was frozen into the ice. The uppermost 0.40 m of ice responded to short-term fluctuations in air temperature. Ice below a depth of 0.50 m showed longer-term response to the steady increase in air temperature. During the decay process, the winter profile of increasing ice temperature with increasing depth reversed; the upper ice surface was warmer than the bottom ice. A systematic increase in ice temperature was observed in ice at all depths. Warming rates decreased linearly from top to bottom, from 0.26°C/day to 0.03°C/day respectively. An analysis showed that the rate of ice decay could be approximated knowing the air temperature/ice surface temperature, ice thickness, and its depth-dependent warming rate.
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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) | 0.002 | 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".