Raw data of qPCR swab results in Nova Scotia hibernacula.docx
Bibliographic record
Abstract
White-nose syndrome is a skin disease of bats caused by the fungus Pseudogymnoascus destructans (Pd). Pd has devastated populations of some bat species in North America, where environmental reservoirs of the fungus are considered a threat to the persistence of bat populations. However, long-term patterns of Pd environmental persistence in North American hibernacula are unknown. We swabbed hibernacula walls eleven years after the invasion of Pd into Maritime Canada in 2011. This is the first study to examine persistence of Pd in North American hibernacula > 7 years after the first documentation of Pd at a site. The proportion of hibernacula wall swabs with viable Pd decreased over time, with 40.6% of wall swabs positive (n=32) in 2012, 35.0% (n=40) in 2015, and 1.7% (n=120) in 2022. In early winter 2022, 41.18% (n=17) of bats (Myotis lucifugus, M. septentrionalis, and Perimyotis subflavus) were Pd-positive compared to 6.67% (n=15) in late winter, a low prevalence and the opposite pattern compared to the first 4 years after Pd-invasion to sites. Our results suggest that Pd loads in the environment naturally decrease to low or undetectable levels over time in our study region. Since attempts to reduce environmental reservoirs have a high likelihood of negative non-target effects on hibernacula ecosystems, and a low likelihood of completely eradicating Pd, actions to reduce environmental reservoirs in hibernacula should consider deprioritizing sites where Pd has been present > 10 years. We urge the collection of further data across hibernacula sites with varied geochemistry, microclimates, organic matter availability, timing of Pd arrival, and surviving bat colony sizes. This will allow a more comprehensive assessment of this strategy.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.134 | 0.028 |
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".