The hear and now of Canadian redfish: response thresholds of <i>Sebastes fasciatus</i> to sound stimuli
Bibliographic record
Abstract
Historical fishery collapses highlight the need to study life history traits and behaviours of commercially important species, and understanding the auditory capabilities of fish species is essential for assessing ecological interactions and responses to anthropogenic noise. The current study investigated neural and behavioural responses of Sebastes fasciatus (Acadian redfish) to tone bursts between 50 and 1000 Hz and complex sounds (boat noise, white noise, and broadband), presented at increasing decibel levels. Auditory evoked potential recordings revealed peak sensitivity to frequencies below 400 Hz, with the lowest threshold of 95 dB re 1uPa at 100 Hz. Lower frequencies of 50 to 500 Hz produced lower behavioural thresholds than 1000 Hz and complex sounds, but behavioural response typically occurred at higher intensities than AEP thresholds. These findings suggest selective auditory processing, showing S. fasciatus can detect lower frequencies before they elicit behavioural responses. Such findings provide valuable insights into the acoustic ecology of S. fasciatus and will help inform conservation efforts amid rising anthropogenic noise in marine environments.
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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 | 0.000 |
| 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".