Sea Scallop Southern Gulf of St. Lawrence
Bibliographic record
Abstract
Status The exploitable biomass estimate of the southern Gulf of St. Lawrence (sGSL) Sea Scallop stock is in the Critical Zone of the Precautionary Approach (PA) Framework and has a very high (greater than 99%) probability of being in the Critical Zone. Trends Initial biomass of the sGSL Sea Scallop stock was high (~4,000 tonnes of meat weight, t) prior to the onset of commercial fishing and rapidly declined below the limit reference point (LRP) over a period of approximately 10 years; biomass has remained stable below the LRP since 1982. Biomass estimates have shown a slight increase toward the LRP in the last three years (2021-2023). Recruit numbers peaked in 2021 for the survey time series (2019-2023). Clapper index (proxy of natural mortality) has also been increasing in recent years. Ecosystem and Climate Change Considerations Because Sea Scallops are mostly sedentary molluscs, the sGSL Sea Scallop stock is susceptible to climate change stressors. Sea Scallops are vulnerable to temperatures exceeding 21 °C. Maximum summer bottom temperatures in the Northumberland Strait have increased steadily since 1995. The number of days exceeding 21 °C per year has also been increasing. Stock Advice The estimated biomass of the sGSL Sea Scallop stock dropped below the LRP in 1982 and has remained there since. Stock projections are not available.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".