Prevalence of diseases of the musculoskeletal system in dogs
Bibliographic record
Abstract
The article presents the results of studying the spread of bone and joint pathology in dogs, which are most often prone to injury. An analysis was made of the database of three veterinary clinics of the Republic of Belarus for 2021 («Doctor Polosatov» (Vitebsk), «White Fang» (Vitebsk) and «Alfa- Vet» (Minsk)). In the above-mentioned clinics, 23 935 animals of different breeds and ages were diagnosed and treated during the analyzed period. Analysis of the data obtained showed that diseases of the musculoskeletal system (arthritis, bursitis, osteoarthritis, discospondylosis, dysplasia, fracture and dislocation) are diagnosed in 8,01 % of dogs. Moreover, the most common disease of the musculoskeletal system in dogs is osteoarthritis, which accounts for 24,26 to 47,47 %. For the first time, a study conducted in the Republic of Belarus also showed that such animal breeds as mestizo, Labrador, Alabai, Caucasian Shepherd, chow-chow, Great Dane, German Shepherd and St. Bernard.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.001 | 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".