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Record W4390562911 · doi:10.1163/1568539x-bja10255

Stress, corticosterone, and colour-change in a toad with dynamic sexual dichromatism

2024· article· en· W4390562911 on OpenAlexaff
Katrina M. Gardner, Daniel J. Mennill, Amy E. M. Newman, Stéphanie M. Doucet

Bibliographic record

VenueBehaviour · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsUniversity of GuelphUniversity of Windsor
Fundersnot available
KeywordsCorticosteroneCaptivityBiologyCamouflageToadEctothermThermoregulationZoologyEcologyHormoneEndocrinology

Abstract

fetched live from OpenAlex

Abstract Animals use colouration to serve diverse functions including camouflage, thermoregulation, and communication. Recent research has revealed that many anurans exhibit drastic colour changes and growing evidence supports that these changes are sexually selected signals. Male yellow toads, Incilius luetkenii, exhibit dynamic sexual dichromatism, changing from mud-brown to lemon-yellow during their brief breeding events. Toads darken when isolated in captivity, which is hypothesized to be a stress response, although the mechanisms driving this change have yet to be experimentally investigated. We confined breeding toads to small terrariums for four hours and predicted that colour and corticosterone levels would change in isolation. We found that toads darkened during isolation, but that corticosterone levels did not change with colour. Our correlational results suggest that corticosterone is not the main driver of colour change in yellow toads and highlight avenues for future research that may enhance our understanding of colour change in anurans.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.023
GPT teacher head0.254
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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