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Record W7009341014

Efficacy of volatile organic compounds as treatment for bats affected with white-nose syndrome

2021· article· en· W7009341014 on OpenAlexaboutno aff

Bibliographic record

VenueDigitalCommons - Kennesaw State University (Kennesaw State University) · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMyceliumPathogenFungal pathogenAntifungalAntimicrobialFungal diseaseBiological pest controlFungus
DOInot available

Abstract

fetched live from OpenAlex

Pseudogymnoascus destructans, the causative agent of white-nose syndrome (WNS), is a fungal pathogen implicated in the widespread mortality of hibernating bats across North America. Since its arrival to the United States in 2006, the pathogen has spread rapidly to 34 US states and 7 Canadian provinces. Researchers have been searching for disease management strategies to minimize the spread and severity of this fungal pathogen, as bats are an important aspect of a healthy regional and global ecosystem as insect predators and pollinators. Volatile organic compounds (VOCs), produced by a variety of microorganisms, have been found to exhibit antimicrobial properties against fungal pathogens such as Ophidiomyces ophiodiicola, the causative agent of snake fungal disease. Due to this observed antifungal activity, an in vitro experiment was conducted to explore the potential antifungal activity of VOCS against P. destructans mycelial growth. The experiment involved exposing mycelial plugs of P. destructans to various concentrations of VOCs and measuring the radial mycelial growth. One VOC, an azole compound, exhibited >50% inhibition of P. destructans mycelial growth when compared to the control.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.182
Teacher spread0.169 · 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.

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueDigitalCommons - Kennesaw State University (Kennesaw State University)Same topicBat Biology and Ecology StudiesFrench-language works237,207