Evaluating the potential impacts of grey seal predation and fishery bycatch/discards on cod productivity on the Western Scotian Shelf and in the Bay of Fundy
Bibliographic record
Abstract
Abstract The recovery of many groundfish stocks in the Northwest Atlantic has been impeded by elevated mortality among older/larger individuals. The sources of groundfish mortality are generally uncertain, though predation by growing grey seal herds and unreported fishing are thought to be drivers of mortality for Atlantic cod (Gadus morhua) on the Western Scotian Shelf and Bay of Fundy (4X5Y), as well as in nearby ecosystems. We developed a statistical catch-at-age model for 4X5Y cod that accounted for grey seal predation and bycatch/discards and tested the model across a broad range of consumption and discard scenarios. We found that most cod mortality was unexplained by seal predation and fishing when cod comprised a small to moderate portion of the grey seal diet. Predation and fishing accounted for slightly more than half of recent cod mortality when cod was highly prevalent in the seal diet (45% by weight) but explained little historical mortality. Bycatch was a minor source of mortality prior to 2019 and accounted for 0.%1–8.1% of recent mortality. Increased sampling of seal diets and monitoring of emerging seal colonies is necessary for reducing uncertainties around seal predation effects in the Northwest Atlantic.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".