Science Response : Stock status update of Atlantic Halibut for 2023
Bibliographic record
Abstract
Atlantic Halibut (Hippoglossus hippoglossus) is the largest of the flatfishes and ranges widely over Canada's East Coast. The management unit definition, Northwest Atlantic Fisheries Organization (NAFO) Divisions 3NOPs4VWX5Zc, is based largely on tagging results that indicate that Atlantic Halibut move extensively throughout the Canadian North Atlantic with smaller fish moving further than larger fish. The Atlantic Halibut fishery was unregulated until a Total Allowable Catch (TAC) was implemented in 1988 and a legal size limit (≥ 81 cm total length) was fully established in 1995. The Fisheries and Oceans Canada (DFO) Summer Research Vessel (RV) Survey provides an index of abundance for incoming recruitment for the stock. An Industry-DFO Longline Halibut Survey (Fixed Station Halibut Survey) on the Scotian Shelf and southern Grand Banks (NAFO Divs. 3NOPs4VWX5Zc) was initiated in 1998 to provide an index of exploitable Atlantic Halibut. In 2017, a new Stratified Random Halibut Survey was initiated that extended the longline survey into areas and depths that were not well sampled by the Fixed Station Halibut Survey. One hundred Fixed Stations continued to be fished to calibrate the 153-station Stratified Random Halibut Survey and provide an index for TAC advice (DFO 2020). A new assessment model was adopted in 2021 to inform Resource Management of the status of the Halibut resource and closed-loop simulation was used to evaluate harvest control rules (Johnson et al. In preparation)1 . Harvest level advice will be based on the exploitable biomass index from the Stratified Random Halibut Survey. The abundance index from the DFO Summer RV Survey (NAFO Divs. 4VWX) is monitored as an index of recruitment. DFO Resource Management asked Science to update and evaluate Atlantic Halibut abundance, the status of the stock, as well as the resulting TAC advice. This response provides 2023-2024 TAC advice based on the articulated harvest control rule adopted at the Scotia-Fundy Groundfish Advisory Committee (SFGAC) meeting in March 2022.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.036 | 0.022 |
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".