A retrospective study of canine strychnine poisonings from 1998 to 2013 in Western Canada.
Bibliographic record
Abstract
This study describes observations related to 93 cases of strychnine poisoning in dogs over a 16-year period in Saskatchewan, Alberta, and Manitoba. Epidemiological information describing age, gender, breed, and size of the dogs, geographical distribution of poisonings, and strychnine concentrations in tissue matrices were tabulated. The mortality in dogs poisoned with strychnine was 60.2%. Strychnine poisoning cases varied by year (P = 0.0012) and by season (P = 0.0005). The highest number of confirmed cases occurred in years 2000 and 2001. Poisonings occurred most frequently during the spring. There were no statistical differences related to age or gender, but older, male dogs appeared to be more commonly affected. Large dog breeds were most commonly affected. Strychnine was detected in multiple tissue matrices, including stomach contents, liver, urine, vomitus, and gastric washings. The study indicates that strychnine poisoning in the dog remains a common toxicosis in western Canada.
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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 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".