Impact of Kara Sea landfast ice extent on the stability of the pan-Arctic halocline
Bibliographic record
Abstract
Landfast ice is immobile sea ice attached to the coastline.Through the position of wintertime offshore polynyas and related brine rejection with new ice formation, the landfast ice cover has an effect on the halocline stability in the Arctic.Landfast ice formation depends in large part on the depth of the ocean floor.Numerical simulations with and without a landfast ice cover in the relatively deeper Kara Sea show that the presence of landfast ice decreases the near-surface salinity not only locally, but the local negative salinity anomaly in the Kara Sea is then advected in the Makarov Basin on timescales of less than ten years.The fresh signal is also affected by river discharge into the Kara Sea.We argue that a proper representation of landfast ice in the Kara is key to a proper simulation of the halocline stability and Atlantification of the Makarov Basin.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".