Salmon bycatch monitoring and sampling results for the Pacific Region 2023/24 groundfish trawl fishery
Bibliographic record
Abstract
The Pacific Region Groundfish Trawl Fishery is one of the largest fisheries in British Columbia by catch volume and value. Beginning fall 2022, new monitoring and retention requirements for salmon bycatch were introduced in the fishery to improve the accuracy of catch estimates and collect information on Chinook salmon stock composition and coded wire tags (CWT). This report describes results for the 2023/24 groundfish fishery, the first full year of the enhanced monitoring program. There was an estimated total of 28,145 salmon caught in the 2023/24 groundfish fishery including 21,696 Chinook salmon. CWT and genetic stock composition estimates indicate that most bycatch of Canadian origin Chinook salmon was from the Fraser Fall 4(1) stock management unit, which includes CWT exploitation rate indicator stocks from the Chilliwack and Harrison River. A new salmon bycatch management plan has been implemented for the 2024/25 fishery, including a fleet-wide bycatch cap of 9,500 Chinook salmon, therefore, future catches will be reduced compared to information reported here for 2023/24.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".