Pacific Salmon: Ecology and Management of Western Alaska’s Populations
Bibliographic record
Abstract
Abstract.—Fisheries and Oceans Canada has managed the northern British Columbia troll fishery since 1995 to reduce fishing mortality on Chinook salmon Oncorhynchus tshawytscha stocks from the West Coast of Vancouver Island (WCVI). This paper describes the fishery and the use of genetic data in mixed-stock analyses for in-season management of Chinook salmon. Microsatellite DNA based stock identification was used in 2006 to regulate the mixed-stock fishery to address WCVI stock specific harvest. Chinook salmon stock compositions were estimated in-season for the 2006 troll fishery harvest and the fishery was managed based on this information to meet catch targets for WCVI Chinook salmon. The best opportunities for the troll fishery to avoid WCVI Chinook salmon stocks were defined spatially (in northern portions of the fishing area) and temporally (in late June and July). The application of stock-specific management allowed the internationally negotiated catch allocation between Canada and the U.S. (Pacific Salmon Treaty) to be reached while reducing the exploitation of WCVI Chinook salmon stocks.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 0.000 |
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".