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Record W4205175656 · doi:10.3389/fevo.2021.770788

Captive Tawny Frogmouths Exhibit Similar Body Temperature Patterns as Wild Individuals

2022· article· en· W4205175656 on OpenAlexaff
Zenon J. Czenze, Mark C. Myers, Darin Collins, R. Mark Brigham

Bibliographic record

VenueFrontiers in Ecology and Evolution · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsCaptivityBiologyRespirometryAnimal scienceThermoregulationZoologyEcology

Abstract

fetched live from OpenAlex

Free-ranging tawny frogmouths (Podargus strigoides) typically defend body temperature (Tb) between 38 and 40°C during activity and allow it to fall to 29°C during cold evenings. However, this pattern of nightly Tb decline has not been elicited in captivity during short-term respirometry measurements. We used implanted Tb loggers to record the Tb of two captive tawny frogmouths from 24 September to 24 December 2019 to determine if the conditions in captivity would elicit similar Tb patterns to those measured in the wild. We recorded an average Tb of 34.8 ± 1.1 and 35.6 ± 1.0°C for the two birds and minimum Tb of 31.0 and 32.0°C. Minimum daily Tb was correlated between the two individuals, and the minimum Tb of both individuals was correlated with minimum daily Ta. Our results highlight the need to keep birds under appropriate captive conditions to perform physiological research that produces results which mirror responses by individuals in the wild.

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 score0.007

Distilled classifier scores by category (both heads)

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

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 head0.005
GPT teacher head0.186
Teacher spread0.181 · 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
Published2022
Admission routes1
Has abstractyes

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