Enzootic Maintenance of Sylvatic Plague in Canada's Threatened Black‐Tailed Prairie Dog Ecosystem
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".