Prevalence of developmental skeletal abnormalities in the dog in Bulgaria: a 6-year survey.
Bibliographic record
Abstract
A 6-year survey (1 October 2006 – 1 October 2012) on the prevalence of developmental skeletal abnormalities in dogs was performed based on patients’ records of the Small Animal Clinic to the Faculty of Veterinary Medicine – Stara Zagora, Bulgaria. From the total number of 6,097 dogs with surgical disorders, developmental skeletal disorders were diagnosed in 230 dogs (3.78%). The incidence of diagnoses was as followed: hip dysplasia (64.35%), panosteitis (16.96%), elbow dysplasia (12.61%), hypertrophic osteodystrophy (3.48%), osteochondrosis (2.62%). The most commonly affected breeds were German shepherd (33.4%), Central Asian Shepherd (7.83%), Golden Retriever and Rottweiler (6.52%), Labrador Retriever (4.78%), and the least frequently – small canine breeds and hunting dogs. Male dogs were more frequently affected. Most of the patients were under 3-years old (91.30%) and all recorded panosteitis cases were in dogs younger than 3 years of age.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| 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".