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Record W6887331497 · doi:10.15468/k24rd6

Bat species occurrences in Nyungwe National Park, Rwanda

2022· dataset· en· W6887331497 on OpenAlexaff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2022
Typedataset
Languageen
Field
Topic
Canadian institutionsMinistère des Ressources naturelles et des Forêts (Québec)
Fundersnot available
KeywordsNational parkHuman echolocationIUCN Red ListEndangered speciesCritically endangeredCaveInsectivore

Abstract

fetched live from OpenAlex

The dataset includes bat species occurrence records resulting from survey efforts in Nyungwe National Park and surrounding areas in southwestern Rwanda from 2013-2020. Data were collected as part of a long-term collaborative project to determine if the IUCN critically endangered Hill's horseshoe bat (Rhinolophus hilli) is extant. The dataset includes species occurrence records resulting from cave roost surveys, capture surveys, and acoustic sampling of bat echolocation activity. The dataset includes 278 occurrence records from 10 bat species of 5 families detected at 71 locations in or near Nyungwe National Park. The dataset includes three notable species occurrences in Nyungwe National Park, including the first detection of Rhinolophus hilli since 1981, the first record of Lander's horseshoe bat (Rhinolophus landeri) in Nyungwe National Park, and the first record of the Damara woolly bat (Kerivoula argentata) in Rwanda.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.235
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0640.299

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 head0.242
Teacher spread0.213 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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