Incidence of canine chronic kidney disease and its associated risk factors in and around Bhubaneswar, Odisha
Bibliographic record
Abstract
Chronic kidney disease (CKD) is a highly prevalent renal disease of geriatric dogs leading to decreased survivability that is manageable with renoprotective therapy. The objective of this research work is to study prospective incidence of canine chronic kidney disease based on different parameters such as breed, age, and change in lifestyle of pet dogs. The incidence was recorded highest in German shepherd followed by Labrador retriever among different breeds of dogs. Prevalence was observed more in dogs over 7 years and male dogs were found more affected as compare to female dogs. Risk factors associated with dogs are maintenance with lifetime high protein pet food and presence of concurrent disease that depicts positive correlation with incidence of CKD in dogs. Studies in Teaching Veterinary Clinical Complex, College of Veterinary Science and Animal Husbandry, OUAT, Bhubaneswar and different hospitals of Bhubaneswar suggested increased incidence of canine chronic kidney disease in German shepherd dogs.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".