Influence of Hook Size and Style on Short-Term Survival of Deeply Hooked Bluegills
Bibliographic record
Abstract
Abstract Catch and release is a common practice among recreational anglers. In instances when fish are deeply hooked, the proper techniques for promoting survival are poorly understood, although evidence suggests that the fishing line should be cut rather than attempting to remove the hook. Bluegills Lepomis macrochirus were used as a model to identify the role of hook size (sizes 8 and 12), style (Aberdeen, baitholder, single egg), and the presence of barbs (only for baitholder hooks in size 10) on survival and hook retention for fish deeply hooked and the line cut. Eight hook style and size variants were manually embedded in the dorsal esophagus of fish, monitored over 10 d, and compared with unhooked controls. There was some evidence that Aberdeen style and larger hooks (size 8) incurred greater mortality over the 10-d monitoring period, while barbless hooks did not improve survival. Hook retention was high (>90%) for all deeply hooked fish. “J” style hooks, such as Aberdeen, and larger hooks may not be warranted for bluegills; however, we suggest that anglers use an adaptive approach when they select for a gear type appropriate to their target catch and simply adjust for alternate gear and techniques if deep hooking persists. Received May 25, 2012; accepted June 5, 2012
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".