2024 Assessment of Sea Scallop in SFA 26A (Browns Bank North)
Bibliographic record
Abstract
Status The median biomass estimate in 2024 was 4,724 t (meats) for fully-recruited scallop; the probability the stock was below the limit reference point (LRP; 2,000 t) was less than 0.01. The median recruit biomass estimate in 2024 was 362 t, which is above the long-term median (1994–2023) of 325 t. The 2023 proportional exploitation rate (0.05) was comparable to recent years (2021–2022). Trends Fully-recruited biomass has increased following a historical low in 2017. The full time series is above the LRP. Recruit biomass has been stable near the long-term median since 2017. The estimated proportional exploitation rate has been around 0.05 and below the long-term median for the last three years (2021–2023). The estimated proportional natural mortality of fully-recruited scallop has varied without trend between 0.1–0.5 throughout the time series (1994–2023). Ecosystem and Climate Change Considerations Research vessel survey data from Canada and the United States suggest that predator abundance, notably sea stars (Asterias spp.) and crabs (Cancer spp.), has increased within areas of known scallop distribution. Aggregations of predators in areas of high scallop density contribute to increases in natural mortality. Stock Advice Based upon preliminary analysis of the 2024 fishery and DFO Maritimes Offshore Scallop Survey data, an interim total allowable catch (TAC) of 275 t (meats) was set in December 2024 for the 2025 SFA 26A fishery. The interim TAC of 275 t is estimated to result in an exploitation rate of 0.055 and an expected 0.4% decrease in biomass. All evaluated catch scenarios for 2025 indicate a very low probability (less than 0.01) that fully-recruited biomass will decrease below the LRP.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".