Efficacy of volatile organic compounds as treatment for bats affected with white-nose syndrome
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".