A Preliminary Study on Prevalence of Hepatic Disorders in Dogs in Indore District (M.P.)
Bibliographic record
Abstract
A study was carried out on 1082 dogs presented to department of Veterinary Medicine, Teaching Veterinary Clinical Complex (T.V.C.C.) college of Veterinary Science and A.H. Mhow .The dogs were examined clinically and haemato-biochemically in order to assess the hepatic disorders. The prevalence of hepatic disorders among screened dogs was found to be 3.51%. The highest (36.84%) prevalence was observed between 4 to 8 years of age. Sex wise prevalence showed that females were more (57.89%) susceptible than males (42.11%) among all breeds. The most affected breed was Labrador Retriever (21.06%) followed by Pomeranian, Non-descript, German Shepherd, Crossbreed, Rottweiler, Great Dane, Saint Bernard and Golden retriever.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".