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Record W3090552365 · doi:10.1002/bes2.1741

Enzootic Maintenance of Sylvatic Plague in Canada's Threatened Black‐Tailed Prairie Dog Ecosystem

2020· article· en· W3090552365 on OpenAlexaboutno aff
Stefano Liccioli, Tara Stephens, Sian C. Wilson, Jana McPherson, Laura M. Keating, Kym Antonation, Trent K. Bollinger, Cindi R. Corbett, David L. Gummer, L. Robbin Lindsay, Terry D. Galloway, Todd Shury, Axel Moehrenschlager

Bibliographic record

VenueBulletin of the Ecological Society of America · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYersinia bacterium, plague, ectoparasites research
Canadian institutionsnot available
Fundersnot available
KeywordsPlague (disease)EnzooticFleaYersinia pestisThreatened speciesEcologyGeographyRange (aeronautics)PopulationBiologyCynomys ludovicianusPrairie dogDemographyHabitatArchaeology

Abstract

fetched live from OpenAlex

Limited knowledge exists regarding the transmission ecology of sylvatic plague in Canada. We integrated data on black-tailed prairie dog (BTPD) density and occupancy, information on flea distribution, abundance and prevalence of Yersinia pestis infection, and response of these variables to plague management. We determined that current ecological conditions make plague epizootics unlikely, but that enzootic plague may be causing chronic mortality in the BTPD population. Continued plague surveillance and research are warranted in consideration of a warming climate, which has potential to extend vector life cycles, alter flea community composition and host–parasite interactions, and shift the geographic range of plague. These photographs illustrate the article “Enzootic maintenance of sylvatic plague in Canada's threatened black-tailed prairie dog ecosystem” by Stefano Liccioli, Tara Stephens, Sian C. Wilson, Jana M. McPherson, Laura M. Keating, Kym S. Antonation, Trent K. Bollinger, Cindi R. Corbett, David L. Gummer, L. Robbin Lindsay, Terry D. Galloway, Todd K. Shury and Axel Moehrenschlager published in Ecosphere. https://doi.org/10.1002/ecs2.3138

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.217
Teacher spread0.207 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of the Ecological Society of AmericaSame topicYersinia bacterium, plague, ectoparasites researchFrench-language works237,207