Bibliographic record
Abstract
Dogs and cats are very important to millions of Canadians. In 1995, more than 100 million cats and dogs were owned as pets in Canada and the United States. Bites from these animals are very common, with between one million and two million dog bites reported annually in both countries (1). According to the Canadian Hospitals Injury Reporting and Prevention Program web site <www.hc-sc.gc.ca/hpb/lcdc/brch/injury/dog-bit_e.html>, injuries related to dog bites account for 1% of all visits to hospital emergency departments, and dogs are responsible for 85% of all bite wounds. Five-to nine-year-old males sustain dog bites most frequently. Dog and cat bites occur most often in the summer, and between 16:00 and 20:00. Up to 85% of dog and cat bites are caused by the victims' family pet or by a neighbour's pet. About half of these bites are considered to have been provoked.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".