Incidence of Ocular Affections in Dogs with Special Reference to Pigmentary Keratitis
Bibliographic record
Abstract
Background: The aim of current study was to record the Incidence of ocular affections in dogs with special reference to pigmentary keratitis. Methods: Total 6,863 animals were registered at Veterinary Clinical Complex (VCC), Co.V.Sc Jabalpur during a period of six months (May to October, 2024). Out of these animals 5,148 were of dogs, in which 300 (5.82%) dogs were suffered from various ocular affections. Pigmentary keratitis was recorded in 42 (0.81%) dogs after clinical examination. Result: Among the various ocular affections cataracts being the most common at 20.0%, followed by pigmentary keratitis, corneal ulcers, conjunctivitis, corneal edema, eyelid masses and other ocular affections were observed in decreasing order. Labrador Retriever was mostly affected among all breeds representing 25.33% of cases, with male dogs showing a higher distribution at 61.33% compared to females at 38.66%. The age group of 3 to 7 years (36.33%) suffered the most. The incidence of pigmentary keratitis in the study was 14.0%, cases of severe pigmentary keratitis (52.63%), with diffuse pigmentation pattern presented the most, Pug being the most affected breed, accounting for 69.04% of cases. Male dogs were more commonly affected than females, with a distribution of 66.66% and 33.33% respectively. Dogs aged between 3 to 7 years were the most affected, comprising 42.85% of the cases.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".