Stock Assessment of Eastern Georges Bank Haddock
Bibliographic record
Abstract
Status The 2024 model-estimated spawning stock biomass (SSB; 27,343 mt) is above the LRP with a probability of 100% and above the USR with a probability of 70%, placing the stock in the healthy zone. Trends The estimated SSB has declined from 81,453 mt in 2016 to 27,342 mt in 2024; however, SSB is still above the median of the time series. The model estimates of age-1 recruitment in 2020 and 2021 (90 million and 69 million, respectively) are above median recruitment of 8.8 million. Fishing mortality (F) was estimated to be 0.48 on average over the last five years with a decrease to 0.31 for 2024. The model-estimated natural mortality rate (M; 0.502) in recent years (2010–2024) continues to be high. Ecosystem and Climate Change Considerations Higher M estimates have been attributed to both density-dependent impacts of the 2013 year-class, and changes in spatial distribution related to environmental conditions. Haddock presence in deeper water strata off EGB indicates increased movement off the bank throughout the year, likely corresponding with ecosystem changes. Stock Advice Catch advice for 2026 ranged from 2,480–3,850 mt based on the 25–75% risk of exceeding Fref
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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".