Antipredator decisions of male Trinidadian guppies (<i>Poecilia reticulata</i>) depend on social cues from females
Bibliographic record
Abstract
Abstract Many prey species rely on publicly available personal and social information regarding local predation threats to assess risks and make context-appropriate behavioral decisions. However, in sexually dimorphic species, males and females are expected to differ in the perceived costs and/or benefits associated with predator avoidance decisions. Recent studies suggest that male Trinidadian guppies (Poecilia reticulata) show reduced or absent responses to acute personal information cues, placing them at greater risk of predation relative to females. Our goal here was to test the hypothesis that adult (reproductively active) male guppies rely on social information to limit potential costs associated with their lack of response to risky personal cues. Adult male guppies were exposed to personal chemosensory cues (either conspecific alarm cues (AC), a novel odor, or a water control) in the presence of a shoal of three females inside a holding container that allowed the transmission of visual but not chemical cues. At the same time, we exposed females to either risk from AC or no risk, resulting in the display of a range of female behavior, from calm to alarmed, available as social information for males. Alarmed females caused male fright activity to increase and male interest in females to decrease, regardless of the personal cue treatment. These results indicate that male guppies rely more on female information regarding predation risk than their own personal information, probably to balance trade-offs between reproduction and predator avoidance.
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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) | 0.002 | 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".