Incidence of Coxofemoral Joint Affections in Dogs - A Clinical Study of 575 patients
Bibliographic record
Abstract
Coxofemoral joint affections were recorded in 575 dogs of different breed, age and sex during the period from 2007 to 2010. Amongst that, hip dysplasia accounted for 54%, osteoarthritis 28% and fracture luxation 18%. The incidence of hip dysplacia in susceptible breeds less than one year of age was 64% and majority of them were in the age group of 4 to 8 months (71%). Labrador retriever was found to be the most prone breed (43%) for hip dysplasia. While osteoarthritis was highest in German shepherd dogs (30%) with highest incidence in more above four years old dogs (82%). Fracture luxation was found to be common in less than one year of age dogs (51%) and Labrador retriever (23%) was the most affected breed. The age wise distribution of coxofemoral joint affection was 45% in less than 1 year old dogs because of the active period of growth, 19% in 1 to 4 year of adult dogs and 36% in more than 4 year old dogs. Among sex both the populations were equally affected.
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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 | 0.000 |
| 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".