The Epidemiology of Ticks of Companion Animal Health Significance Submitted from Cats and Dogs Participating in the Canadian Pet Tick Survey
Bibliographic record
Abstract
The major objectives of this thesis were to determine baseline distributions, infestation patterns and risk factors for companion animal tick acquisition, in Canada. Two thousand three hundred and twenty-five submissions, totalling in 4454 ticks, were submitted from 94 veterinary clinics across Canada, from April 2019 – March 2020. Of the submissions, 1603 comprised Ixodes spp., and 702 comprised Dermacentor spp. Ixodes scapularis and I. cookei were well distributed across central and eastern Canada. Ixodes pacificus submissions were restricted to British Columbia. Dogs of the herding, mixed breed small and large, sporting, terrier, working, toy breed groups, and spayed cats were more likely to acquire I. scapularis, compared to the non-sporting breed group, and male cats. Clear tick species-specific infestation patterns were observed, with I. scapularis more likely to be found on an animals’ shoulder, and D. variabilis more likely to be found on the ears and neck of dogs.
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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 | 0.001 | 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) | 0.002 | 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".