The drift-retention dichotomy on Browns Bank: a model study of interannual variability
Bibliographic record
Abstract
Interannual variability in drift and retention in the Browns Bank region in spring was investigated by tracking particles in numerical-model estimates of the seasonal mean circulation and monthly mean flow anomalies computed using wind and sea-level data. The circulation changes associated with the variable forcing tend to reinforce either drift to the Bay of Fundy or retention in the vicinity of Browns Bank. Regular spring spawning can lead to widely different distributions of 1-month-old larvae, supporting the concept of a drift-retention dichotomy for Atlantic cod (Gadus morhua) and haddock (Melanogrammus aeglefinus) larvae in the region. Analysis of interannual variability indicates that retention has bounded properties that must be accounted for when relating retention variability to forcing indices. As well, the nonlinearities associated with calculating particle trajectories from velocity fields contribute about 10% of the variance in retention indices. Comparison with biologically based indices of haddock survival indicates that circulation variability alone is not the dominant influence on survival to ages 1 and 2 years. However, it can be expected to have a significant influence in conjunction with biological factors such as the location and timing of peak spawning and the variable vertical position of eggs and larvae.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".