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Raw data of qPCR swab results in Nova Scotia hibernacula.docx

2024· dataset· en· W6920939424 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaPersistence (discontinuity)Environmental dataFungal diseaseAltitude (triangle)

Abstract

fetched live from OpenAlex

White-nose syndrome is a skin disease of bats caused by the fungus <i>Pseudogymnoascus destructans</i> (<i>Pd</i>). <i>Pd </i>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 <i>Pd</i> environmental persistence in North American hibernacula are unknown. We swabbed hibernacula walls eleven years after the invasion of <i>Pd</i> into Maritime Canada in 2011. This is the first study to examine persistence of <i>Pd</i> in North American hibernacula &gt; 7 years after the first documentation of <i>Pd </i>at a site. The proportion of hibernacula wall swabs with viable <i>Pd</i> 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 (<i>Myotis lucifugus</i>, <i>M. septentrionalis</i>, and <i>Perimyotis subflavus</i>) were <i>Pd</i>-positive compared to 6.67% (n=15) in late winter, a low prevalence and the opposite pattern compared to the first 4 years after <i>Pd</i>-invasion to sites. Our results suggest that <i>Pd</i> 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 <i>Pd</i>, actions to reduce environmental reservoirs in hibernacula should consider deprioritizing sites where <i>Pd</i> has been present &gt; 10 years. We urge the collection of further data across hibernacula sites with varied geochemistry, microclimates, organic matter availability, timing of <i>Pd</i> arrival, and surviving bat colony sizes. This will allow a more comprehensive assessment of this strategy.

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Open science, 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 score0.383
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0060.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.3570.740

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 head0.147
GPT teacher head0.361
Teacher spread0.214 · 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
Published2024
Admission routes1
Has abstractyes

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