Effects of Angling on Chinook Salmon for the Nicola River, British Columbia, 1996–2002
Bibliographic record
Abstract
Abstract To sustain viable fish populations, protect stocks of wild salmon Oncorhynchus spp., and successfully manage the Pacific salmon fishery, all sources of fishing mortality need to be understood. The fishery targeting Chinook salmon O. tshawytscha is an important component of the commercial, recreational, and First Nations fisheries in British Columbia. A mark–recovery study was used to investigate the effect of angling on both the immediate hooking mortality and subsequent spawning success of Chinook salmon in the Nicola River, British Columbia, from 1996 to 2002. The immediate hooking mortality rate was lower than mortality rates reported for marine and other freshwater fisheries. Higher hooking mortality rates were found for fish hooked in critical locations, which were associated with heavy bleeding. However, increased bleeding did not translate into reduced spawning success for those fish that survived. Conclusions regarding hook size and its association with hooking mortality rate and spawning success remain unclear. Using optimal techniques and under the right conditions, catch-and-release angling can be an effective conservation and management tool.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".