A rare case of an asymptomatic ovarian cystadenoma in a Labrador retriever
Bibliographic record
Abstract
In this report, a clinical case of asymptomatic ovarian cystadenoma in a six-year-old, female Labrador retriever is described. The owner reported that the dog had been presented for routine spaying two weeks earlier in another clinic. During the operation, the veterinarian discovered a unilateral mass at the tip of the left uterine horn, which he could not remove and ovariohysterectomy was not performed. The patient was then referred to the Hospital of the Faculty of Veterinary Medicine, Trakia University, Stara Zagora, Bulgaria. Transabdominal ultrasonography revealed the presence of a hypoechoic mass in the region of the left ovary (50.0 × 71.8 mm). Complete blood cell counts and biochemical laboratory analysis showed no abnormalities. Caudal midline celiotomy was performed and a substantially altered left ovary was observed. The right ovary and uterus had a normal size and structure. Macroscopic changes in the other abdominal organs were not found. The histopathological finding of the neoplastic formation was characteristic of an ovarian cystadenoma. At follow-up one month after surgery, the dog had fully recovered, and at re-examination six months after surgery, she appeared healthy and all clinical findings were normal.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".