An Internet survey of risk factors for injury in North American dogs competing in flyball.
Bibliographic record
Abstract
A survey was used to investigate injuries in dogs competing in flyball. Complete surveys were obtained from 272 respondents with 589 dogs. In the past year, 23.3% of dogs were injured, with 34.1% injured during their career to date. Common injury sites were paws/digits, back, shoulder, and iliopsoas muscle/groin. Injury in previous years, modified by weight:height ratio, was a significant risk factor for injury. Dogs > 2 y of age had increased risk of injury, as did dogs with best times < 4.0 s. Canadian dogs had increased risk of injury (30.7% injured) compared to United States dogs (20.1% injured). This relationship was modified by participation in other sports, which generally reduced risk of injury in Canadian dogs. Further investigation of risk factors should include differences in training and competition between the United States and Canada, as well as injury prevention strategies.
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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".