Field observations of the movements of locally adapted Atlantic cod (<i>Gadus morhua</i>) living in zero and sub-zero centigrade temperatures for half the year
Bibliographic record
Abstract
Atlantic cod ( Gadus morhua Linnaeus, 1758) can experience mortality at sub-zero (<0 °C) temperatures in ice-infested waters, and many populations migrate to deeper and warmer areas during winter. An exception is the resident population in Gilbert Bay, Labrador, which annually experiences 6 months of sub-zero temperatures. We used the VEMCO Positioning System to estimate fish locations to determine depth utilization and seasonal movements of tagged Gilbert Bay cod ranging in size from 43 to 75 cm. This is the first study to directly monitor the movements of adult Atlantic cod for extended periods (months) in sub-zero temperatures. Gilbert Bay cod remained active under an ice-covered surface during the 6 months of sub-zero temperatures. During both warm (>0 °C) and cold (≤0 °C) periods, fish spent similar amounts of time not moving, moving slowly, and moving at medium and fast rates. They tended to utilize shallow depths, <10 m, beneath surface ice during winter, while utilizing deeper depths as well during other times of the year. Surprisingly, fish that resided within our tracking array year-round had greater cumulative swimming distances during sub-zero periods compared to warmer periods. No tracked fish died during winter, further highlighting the cold adaptiveness of this population and its importance to biodiversity conservation.
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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 | 0.000 | 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) | 0.001 | 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".