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Bat fauna from the Sooretama Biological Reserve, southeastern Brazil

2024· article· en· W4392390586 on OpenAlexaff
Carina Maria Vela-Ulian, João Paulo Maires Hoppe, Albert David Ditchfield

Bibliographic record

VenueActa Scientiarum Biological Sciences · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsMcGill University
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsFaunaBiomeEcologyThreatened speciesGuildGeographyBiodiversityTrophic levelAtlantic forestInsectivoreNature reserveEndemismConservation statusBiologyEcosystemPredationHabitat

Abstract

fetched live from OpenAlex

The Atlantic Forest is one of the world's hotspots of biodiversity, a heterogeneous biome encompassing tropical and subtropical vegetation formations. Its remnants in the state of Espírito Santo, southeastern Brazil, are mostly within state and federal Conservation Units. The largest Unit is the Sooretama Biological Reserve, which harbors several endemic occurrences of fauna and flora, and is the last refuge of some threatened animal species. Inventories of fauna are essential to know the community composition, and for the elaboration of preservation strategies. We conducted a survey focused on the bat fauna of the Sooretama Reserve, analyzing the trophic guilds and the conservation status of its species. We surveyed online taxonomic databases and the literature, resulting in 402 records from two different scientific collections. These records represent five families, 39 genera, and 57 species of bats, revealing that the Sooretama Biological Reserve has all known bat families in the Atlantic Forest biome. Phyllostomidae was the family with the highest number of species registered, and a majority of species belongs to the aerial insectivorous trophic guild. Four species are registered as “Vulnerable” in state and federal conservation books.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.005
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.064
GPT teacher head0.269
Teacher spread0.204 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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