Threat-Sensitive Responses to Disturbance Cues in Juvenile Convict Cichlids and Rainbow Trout
Bibliographic record
Abstract
We conducted laboratory experiments (1) to confirm the existence of a non-injury released disturbance cue in juvenile convict cichlids and rainbow trout, and (2) to determine if cichlids and trout exhibit a graded threat-sensitive antipredator response to varying concentrations of disturbance cues. The results of our first experiment demonstrate that both cichlids and trout exhibit significant antipredator responses (reductions in time spent moving, foraging rate and area use) to the odour of conspecifics that had been exposed to a realistic predator model but not to the odour of undisturbed conspecifics. The results of our second experiment demonstrate that cichlids and trout exhibit reduced time spent moving and foraging rates proportional to the concentration of disturbance cue detected. Together, these results confirm the presence of disturbance cues in cichlids and trout and demonstrate that disturbance cues provide sufficient information to allow for graded threat-sensitive responses.
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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 | 0.001 |
| 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".