Further evidence of Cougars (<em>Puma concolor</em>) in Ontario, Canada
Bibliographic record
Abstract
Previous studies have indicated that Cougars (Puma concolor) were present on the Ontario landscape from 1935 to 2010. During 2012 and 2014, six pieces of evidence were collected that verified that Cougars were present in Ontario at that time. (1) A scat found near Collingwood, Ontario, was confirmed as containing Cougar DNA. (2) A Cougar was photographed by a member of the public near Pefferlaw, Ontario, and the photograph was proven to be authentic. (3) A Cougar was photographed near Kenora, Ontario. (4) A Cougar was observed near Kenora, Ontario, and tracks confirmed the sighting. (5) A Cougar attacked a dog near Bracebridge, Ontario; the animal was subsequently shot by police and DNA evidence indicated that it had at one time been in captivity. (6) A Cougar was photographed and later captured near Grafton, Ontario.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".