Age, Breed and Gender-Wise Prevalence of Hepatic Disorders in Dogs of Nagpur City
Bibliographic record
Abstract
A total of 10,204 dogs were presented for various reasons to TVCC, Nagpur Veterinary College, Nagpur, Maharashtra, during study period between September 2019 and August 2020. Among those, dogs showing non specific signs such as inappetence, anorexia, diarrhoea, constipation, vomiting, polyuria, polydipsia, dehydration, pain on abdominal palpation and change in mucus membrane colour and specific signs like jaundice and ascites were screened for hepatic disorders and 109 (1.06 %) cases were found to be suffering from hepatic disorders. The highest prevalence was found in the age group of above 8 years (34.86%), followed by dogs of age between 4 years to 8 years (30.28%), 1 year to 4 years (22.08%) and less than 1 year (12.84%). Males (59.63%) were more affected than females (40.37%). Labrador Retriever (43.12%), Non-descript (29.36%), Spitz (6.42%) and German shepherd (5.51%) were the most commonly affected breeds.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".