A Clinical Study on Canine Pyometra
Bibliographic record
Abstract
Pyometra is an important gynaecological disorder of canine females along with dystocia and transmissible venereal tumor. Canine pyometra is problematic for canine owner and sometimes fatal in canines in severe cases. So, this study was aimed to know the incidence of pyometra among different gynaecological disorders, breed-wise, and factors affecting incidence of pyometra. A total 178 female dogs, presented with gynaecological disorders at VCC, Meerut, were included in this clinical study. Maximum incidence of canine pyometra was observed in five to six years age group. The incidence was found more in nulliparous (intact) animals and in Labrador breed. Incidence of open cervix pyometra was more common than closed cervix pyometra. USG can be used as a tool for the diagnosis of closed cervix pyometra. Mifipristone, Cabergoline, Misoprostol/Dinoprostone (oral/vaginal prostaglandin) along with antibiotic and other supportive therapy was found very effective in canine pyometra.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".