Structure of intrusions and fronts in the deep layer of the Eurasian basin and Makarov basin (Arctic)
Bibliographic record
Abstract
Numerous CTD data obtained in the Eurasian and Makarov basins in the Arctic during the Polarstern (1996), Oden , and Louis S. St. Laurent (1994) international polar expeditions are analysed to describe fronts and intrusions observed in the deep layer (600–1300 m). The hydrological parameters were estimated from available CTD data, which made it possible to identify different types of fronts (baroclinic, thermohaline, and compound types of fronts) and analyze intrusive layering taking into account the peculiarities of the thermohaline structure of fronts. The field data are interpreted using an interleaving model describing the formation of intrusions on the baroclinic and pure thermohaline fronts under conditions of absolutely stable stratification. It is assumed that differential mixing is the main instability mechanism. Estimates of the vertical and lateral diffusivities in the frontal zones of the deep Arctic layer are presented.
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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) | 0.000 | 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 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".