Characterizing mesoscale eddies in the Labrador Sea based on data from moored observations
Bibliographic record
Abstract
In the Labrador Sea, mesoscale eddies have been identified as a major exchange agent between the fast flowing boundary currents and the quiescent interior Labrador Sea. This way, the eddies contribute to heat, freshwater and property fluxes and impact deep convection and carbon uptake. It is therefore of interest to carefully analyse the occurrence, \ndynamics and water mass characteristics of mesoscale eddies in the Labrador Sea. Here, four years of moored instrument time series data are analyzed for eddy occurrences. \nA semi-automatic method for eddy detection in moored velocity data was developed and the eddie’s time series data were fit to a Rankine vortex model in order to estimate eddy characteristics. Over the four years, three cyclonic and seven anticyclonic eddies have been detected with this method. Surprisingly, most eddies differ in their characteristics and structures from the eddies reported in earlier studies, namely Irminger Rings, Convective Eddies, and Boundary Current Eddies. In particular, no Irminger Ring was found but a cyclonic, bottom-intensified warm core eddy, which has not been reported in this area before.
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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".