Landscape Ecology of Mule Deer (Odocoileus hemionus) and White-tailed Deer (O. virginianus) with Implications for Chronic Wasting Disease
Bibliographic record
Abstract
Chronic wasting disease (CWD) is a fatal prion disease of cervids that continues to spread into new regions of Canada despite containment efforts. I examine the importance of landscape connectivity using circuit theory and source/sink habitats that are based on selection, survival and reproduction in order to assess CWD spread risk among deer in Alberta, Canada. I found for hunter-harvested deer that the likelihood of being CWD-positive was higher for mule deer than white-tailed deer and for deer in habitat associated with river drainages and areas more connected to previously detected CWD-positive deer. Source habitats differed between the two species primarily due to differences in habitat selection, with consequences for reproduction and hunting mortality in mule deer and natural mortality in white-tailed deer. My results will help wildlife managers prioritize areas for CWD monitoring and control, as well as contribute to the development of future spatially explicit disease spread models.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".