Estudo retrospectivo de 180 cães com displasia coxofemoral atendidos no Hospital Veterinário da Unesp Botucatu
Bibliographic record
Abstract
Hip dysplasia (HD) is one of the most important canine orthopedic disease because of its high occurrence and severe consequences in the quality of life of many dogs. The aim of this study was to evaluate epidemiologically and statistically 180 dysplastic dogs attended at the Veterinary Teaching Hospital, Sao Paulo State University, in a five year period. It was correlated the severity of clinical signs and the HD from radiographs of 120 animals. Sex, body weight and age of animal at time of diagnosis were not a risk factor for severity of HD or clinical signs. More than 50% of the Rottweillers, German Shepherds, Labradors Retrievers and Pit Bulls presented with severe HD. Mean body weight of dogs with severe HD was 34.31kg. From 180 evaluated dogs, 22.22% had osteoarthritis at time of diagnosis. Around 45% of pure breed dogs presented with severe HD versus 27.27% of mix breed dog. A total of 42.11% of clinically asymptomatic dogs had severe radiographic signs of HD. There was no significant correlation between the severity of clinical signs and radiographic lesions
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".