Catch and Release in Marine Recreational Fisheries
Bibliographic record
Abstract
Abstract.—Management of the hook-and-line-only fishery for Pacific halibut Hippoglossus stenolepis in waters off the United States and Canada requires discard to the sea of Pacific halibut bycatch (out of season, undersized, or by fishermen without individual quotas or licenses). Depending on hook type and release methods, survival from longline discards can vary from nearly 100% to none. Conversion in the early 1980s from J-hooks, used by foreign fleets and the domestic halibut fleet, to circle hooks, now used by most domestic longline fishermen, increased survival potential through less damaging hooking locations. Bycatch mortality caused by a fishery was estimated by applying a discard mortality rate to the total halibut discarded. On-board observers collected viability data used to calculate annual fishery-specific Pacific halibut discard mortality rates and collected fisheryspecific bycatch rate data used to estimate total bycatch. Limits on bycatch mortality, which closed fisheries when exceeded, provided an incentive for the longline fleet to practice careful release. Estimated halibut bycatch mortality dropped following careful release regulations. Results of tagging studies on halibut released using careful release demonstrated that the distribution of hook injuries shifted to minor and moderate injuries compared with moderate and severe injuries when careful release did not occur. Tag return rates used to quantify survival by injury type led to criteria describing the injuries.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".