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Learning about danger: chemical alarm cues and local risk assessment in prey fishes

2003· article· en· 412 citations· W2025802473 on OpenAlex· 10.1046/j.1467-2979.2003.00132.x

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: ObservationalConsensus signal: Observational
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.072
Threshold uncertainty score
0.186
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.013
GPT teacher head0.218
Teacher spread
0.205 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Abstract An individual's behaviour patterns can be conceptualized as a series of threat‐sensitive trade‐offs between ambient predation pressure and a suite of fitness‐related activities, such as resource defence, foraging and mating. Individuals that can reliably assess local predation risk could increase their fitness potential by exhibiting predator avoidance behaviours only at appropriate times. However, such learned risk assessment requires reliable information regarding current predation risks. A diverse range of prey fishes are known to possess chemical alarm cues, which when detected by conspecifics and some heterospecifics, elicit a variety of overt and covert responses. These chemical cues, either alone or as a part of a predator's dietary odour, provide reliable information regarding local predation risk. In this review, I describe recent works examining the role of chemosensory information in: (i) acquired predator recognition, (ii) predator inspection behaviour and (iii) the use of conspecific and heterospecific cues as social information sources.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
Fish and Fisheries
Topic
Animal Behavior and Reproduction
Field
Agricultural and Biological Sciences
Canadian institutions
Concordia University
Funders
Natural Sciences and Engineering Research Council of CanadaConcordia University
Keywords
PredationALARMPredatorForagingCovertPredator avoidanceBiologyEcology
Has abstract in OpenAlex
yes