Epizootological studies of canine transmissible venereal tumours (TVT) in Chennai
Bibliographic record
Abstract
The present work was carried out to study the prevalence of transmissible venereal tumours (TVT) in dogs presented at Madras Veterinary College Teaching Hospital, Chennai for a period of 5 months (July 2024 to November 2024). A total number of 802 cytological smears collected each from various breeds of dogs, were referred to the Centralised Clinical Laboratory, Madras Veterinary College, Chennai for cytological diagnosis. The overall prevalence of TVT was found to be 3.49%, of which, males showed a higher prevalence (57.14%) when compared to females (42.85%). With regard to the age affected, the highest prevalence was recorded in dogs belonging to 3 to 6 years (39.28%), followed by more than 6 years (32.14%) and 0 to 3 years (28.57%) of the age group. Among different breeds, non-descript breeds revealed an increased prevalence (67.85%), followed by Labrador Retriever (10.71%), Spitz (7.14%) and German Shepherd, Chippiparai, Pomeranian, and Great Dane (3.57% each).
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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) | 0.001 | 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".