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Record W2014368192 · doi:10.1071/zo09053

Bat heart mass: correlation with foraging niche and roost preference

2010· article· en· W2014368192 on OpenAlexaff
R. D. Bullen, N. L. McKenzie, K. E. Bullen, Marta Williams

Bibliographic record

VenueAustralian Journal of Zoology · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsDepartment of Environment and Conservation
Fundersnot available
KeywordsInsectivoreBiologyForageForagingZoologyObligateEnergeticsAnimal scienceEcologyPredation

Abstract

fetched live from OpenAlex

We found that the spirit-preserved hearts of 34 species of Australian bat, representing 6 families, weighed from 0.3 to 0.65% of bat mass (mbat), a variation factor of two. The average mass of the heart specimens of the 34 species was 0.501% of bat mass and this did not vary with bat mass. This value was much lower than the average of the available published data, 0.991%. Insectivorous bats that forage or fly in and near three-dimensional clutter have heart mass fractions ~0.04% larger than average, whereas insectivorous bats that forage around and above the canopy in clear air have fractions ~0.16% smaller than average. Insectivorous bats that are obligate deep-cave roosters have significantly smaller fractions, 0.18% smaller than average, whereas those that hover have fractions ~0.08% larger than average. Available published data, although based on freshly sacrificed animals, show the same trends in relation to heart mass fraction and the same scatter and body-mass relationships. However, the magnitude of the fractions differs by a factor of two and may relate to our removal of all tissue except the musculature and walls of the four cardiac chambers.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.066
Threshold uncertainty score0.259

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)

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 head0.030
GPT teacher head0.226
Teacher spread0.196 · 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 teacher head, 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

Citations11
Published2010
Admission routes1
Has abstractyes

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