Occurrence of canine transmissible venereal tumour
Bibliographic record
Abstract
Canine transmissible venereal tumour (CTVT) is the most common neoplasm of the genital sites transmitted through allogenic transplantation of tumour cells during coitus or at extragenital sites like oral or nasal mucosa by licking, scratching or sniffing affected area. In this study the overall occurrence of CTVT and its occurrence was analysed based on breed, age, gender, parity, season, reproductive status and breeding history, collected from retrospective data of clinical records maintained at University Veterinary Hospitals. The overall occurrence of CTVT was 0.15 per cent among total presented cases, 0.88 per cent among total reproductive disorders, 21.42 per cent among total canine tumour cases and 4.74 per cent among cases with vaginal bleeding. Higher occurrence was recorded in female dogs (88.59%), dogs aged 2-5 years (73.91%), intact females (88.04%), pluriparous dogs (41.10%) and during south-west monsoon season (32.07%). Breed wise occurrence was higher in Labrador Retriever dogs (41.30%) followed by non-descript dogs (22.28%). Occurrence was higher in dogs with history of mating with stud dogs (81.60%) when compared to stray dogs (18.40%).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".