Studies on Occurrence of Ocular Diseases in Dogs with Emphasis on Occurrence of Glaucoma
Bibliographic record
Abstract
The present study was carried out to evaluate the occurrence of different ocular diseases and to study the occurrence of glaucoma in dogs over a period of three years from January 2016 to January 2019. The occurrence of different ophthalmic affections was analysed in different age group, gender, season and breed of dogs. Out of the 28,254 case records of dogs evaluated, 356 case records of dogs were of ocular diseases. The overall per cent occurrence of ocular diseases during this period was 1.26 per cent. Conjunctivitis (27.25%) was the most common ocular disease observed. The per cent occurrence of ocular diseases was highest in puppies (33.71%) and male dogs (80.34%) and was seen highest during Summer season (36.24%). Among different breeds, the highest per cent of ocular diseases was seen in Non-descript dogs (19.94%) followed by Pugs (16.85%) and Labrador retrievers (15.73%). The per cent occurrence of glaucoma was highest in adult dogs (32.14%). Gender wise occurrence of glaucoma was maximum in male dogs (60.71%). Among different breeds, the maximum per cent occurrence of glaucoma was seen in Non descript dogs (25%) followed by Pomeranians (21.43%) and Labrador retrievers (14.29%).
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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 | 0.000 | 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 | 0.001 |
| 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".