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Record W4317472118 · doi:10.1139/cjz-2022-0109

Dwarfism in a Seba’s short-tailed bat, <i>Carollia perspicillata</i>, with comments on its flight aerodynamics

2023· article· en· W4317472118 on OpenAlexvenueno aff
Lucas de Oliveira Carneiro, Breno Mellado, Leandro R. Monteiro, Marcelo R. Nogueira

Bibliographic record

VenueCanadian Journal of Zoology · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsnot available
FundersFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroConselho Nacional de Desenvolvimento Científico e TecnológicoInstituto Chico Mendes de Conservação da BiodiversidadeCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsBiologyAnatomyCraniaSkullWingForamen magnumZoology

Abstract

fetched live from OpenAlex

We describe the first known case of disproportionate dwarfism in bats. The specimen is an adult male Seba’s short-tailed bat, Carollia perspicillata (Linnaeus, 1758), captured in a ground-level mist net during a survey in a lowland Atlantic Forest area in southeastern Brazil. Examination of the specimen skull showed craniofacial anomalies, including microdontia in the upper incisors, oligodontia in the third upper molars, fusion of the nasal septum and the left ventral nasal concha, and a narrower foramen magnum. Post-cranial changes were mainly related to shortened radius, tibia, and metacarpals, compared to the reference sample in multivariate space. Given its unusual morphology with short wings and average body mass, the dwarf would have higher wing loading, fly faster, require more power to fly, and have a shorter flight range compared to the species pattern. Because it presented good body condition and reached adulthood, possible mechanisms of functional compensation are discussed.

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 score0.012
Threshold uncertainty score0.023

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 studies0.0010.001
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 head0.028
GPT teacher head0.220
Teacher spread0.191 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

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