Eastern Georges Bank haddock assessment
Bibliographic record
Abstract
The 2023 spawning stock biomass of EGB Haddock is above the USR, placing the stock in the Healthy Zone, based on domestically defined reference points. Combined Canada and United States of America (USA) eastern Georges Bank (EGB) Haddock catches in 2023 were 2,840 mt and represented 74% of the combined 3,840 mt quota. Model-estimated spawning stock biomass (SSB) for EGB Haddock has declined from a peak of 83,000 mt in 2016 to 31,733 mt in 2023, which is above the median SSB of 24,939 mt for the time series (1969–2023). The model estimates of the 2020 and 2021 age-1 fish are 110 million and 86 million, and are above the long-term average (9 million; 1968–2022 year-classes). Improvements in Haddock length- and weight-at-age, and fish condition have been observed in the fishery and surveys. Fishing mortality (F) was estimated to be 0.60 and 0.11 for 2022 and 2023, respectively. Sensitivity analyses suggest there is no evidence to suggest M has decreased in the recent time period. Recommended catch advice was 6,160–9,130 mt based on the 25%–75% risk of exceeding the fishing mortality reference.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".