Ferrite magnets do not deter blue sharks (Prionace glauca) from bait strikes in behavioural trials
Bibliographic record
Abstract
Blue sharks ( Prionace glauca ) are the most-commonly caught species of shark globally with evidence of decreasing populations. Sensory deterrents, inducing weak electromagnetic fields, have been used to deter sharks from fishing gear, while maintaining target catch quality and quantity. Here, we conducted trials on the efficacy of ferrite magnets as a deterrent on blue sharks off the southwest coast of the UK. We tested behavioural responses of blue sharks to ferrite magnets in a field experiment comparing simulated fishing lines (hooks removed) with and without magnets. There was no statistically significant difference in bait choices between the control (n = 14) and magnet (n = 12) lines. Time to strike, number of prior interactions, number of sharks present or number of people in the water did not influence bait choice in the trials. Our study adds to conflicting findings on electrosensory deterrents' effectiveness on shark species. Ferrite magnets, with fixed magnetic fields, are currently not suitable for widespread implementation in fisheries and alternative strategies should be explored to reduce shark mortality. • Blue sharks showed no deterrent response to ferrite magnets in field trials. • Bait choice was unaffected by shark number, time to strike, or prior interactions. • Findings add to inconsistent results on electrosensory deterrents in sharks.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.001 |
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 teacher head, 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".