Cougar population status and range expansion in Alberta during 1991–2010
Bibliographic record
Abstract
ABSTRACT In Alberta, Canada, number of cougar ( Puma concolor ) mortalities caused by humans has increased rapidly over the past 2 decades. Management agencies sometimes use human‐caused mortalities as an index of cougar population trend, which would indicate an increasing cougar population in Alberta, but mortalities may be decoupled from cougar numbers. Some authors suggest that higher human‐caused cougar mortalities (primarily due to sport hunting) are causing cougar populations in North America to decline. We used the distribution of human‐caused cougar mortalities in Alberta to evaluate change in cougar populations during 1991–2010, a period over which human‐caused cougar mortality increased rapidly. We provide evidence that cougars have expanded their range in northern and eastern Alberta in tandem with increasing sport hunting and other sources of human‐caused mortality. © 2013 The Wildlife Society.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".