Comparison of Angler Interventions for Smallmouth Bass Experiencing Barotrauma in Catch-and-Release Angling Tournaments
Bibliographic record
Abstract
Abstract Black bass Micropterus spp. in North America are commonly targeted by recreational anglers who are participating in catch-and-release angling tournaments. In deeper water bodies, Smallmouth Bass M. dolomieu are often caught from depths greater than 6 m and held in a boat’s live well until they are weighed in. Smallmouth Bass that are caught from such depths typically display symptoms of barotrauma, where the swim bladder becomes overinflated and the fish cannot maintain proper orientation. We examined the effects of three common practices that are used by tournament anglers who hold fish that exhibit symptoms of barotrauma: no treatment, weighted fin clips (rubber-coated weighted alligator clips), and fizzing (venting the swim bladder with a hypodermic needle). After receiving a treatment, the Smallmouth Bass were held in experimental live wells for a period of 3 h and their condition was monitored using reflex action mortality predictors. Condition declined for the Smallmouth Bass that received no treatment, whereas both fin clips and fizzing demonstrated improved fish condition. Fizzing was also found to be a more rapid and effective treatment than fin clips. As the weight and capture depth of fish in the control group increased, there was a significant decrease in final condition, as indicated by reflex impairment. For tournaments that hold fish in live wells prior to release, these results demonstrate that interventions shortly after capture can effectively reduce reflex impairment in Smallmouth Bass that experience barotrauma and that fizzing is more effective than fin clips.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".