First Report on Ovariohysterectomy for the Treatment of Pyometra in a Golden Retriever Dog in Mongolia
Bibliographic record
Abstract
A 4-year-old female Golden Retriever dog was brought to the Animal Health Centre with complaints of anorexia, purulent and blood-tinged discharge, and white foamy vomit.The dog was clinically diagnosed with pyometra and was successfully treated with ovariohysterectomy.Bacteriological testing revealed a bacterial infection with Proteus vulgaris that was resistant to antibiotics including vancomycin, novobiocin, and penicillin.Histopathological examination showed multifocal cystic hyperplasia of the endometrial glands, severe abscessation of the glandular lumen, and severe infiltration of lymphocytes and plasma cells in the muscle layer.The dog recovered and showed normal hematology and biochemical parameters after ovariohysterectomy, antibiotics administrations, and supportive care.This case report including the diagnosis and surgical management of pyometra will be a very important resource for the development of small animal clinical skills and clinical training in Mongolia.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".