Biologgers reveal unanticipated issues with descending angled walleye with barotrauma symptoms
Bibliographic record
Abstract
Without sufficient time to diffuse air from their swim bladders, physoclistous fish caught in deep water can exhibit symptoms of barotrauma. In this study, we tested the effectiveness of four barotrauma relief techniques on 76 walleye ( Sander vitreus) and compared their 10 min post-release behaviour and depth selection with an untreated control group using a biologger containing a tri-axial accelerometer and depth sensor. Vented fish showed the best success rate of returning to depth, while no untreated controls were able to swim down. For fish that remained at depth, half were found to have lost orientation and were upside down during the entire monitoring period, with this orientation being strongly associated with the relief method. Vented fish had higher chances (80%) of remaining in the correct orientation at depth compared with the other methods (average of 38%). Our research shows that the best way to prevent negative outcomes of barotrauma is to avoid fishing at depths that yield barotrauma; however, if unavoidable, affected fish should be carefully vented by trained anglers to best reduce post-release impairments.
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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 | 0.001 |
| 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".