Use of Computed Tomography, Ultrasound, and Vaginoscopy in the Evaluation of a Bilobed Vaginal Müllerian Cyst in a Neutered Female Labrador Retriever
Bibliographic record
Abstract
An 11-year-old neutered female Labrador was presented with dyschezia and dysuria associated with a large perineal mass that had been present for 2 years. Computed tomography (CT) revealed a large bilobed, cavitated mass localized ventrally to the rectum and dorsally to the urethra at the level of the vagina, with hypoattenuating contents and a contrast-enhancing peripheral wall. Surgical excision was performed and confirmed the cystic nature of the mass. Histopathological findings were compatible with a benign vaginal cyst, most likely originating from the Müllerian or paramesonephric ducts. The CT provided relevant information for surgical planning and enabled accurate assessment of the mass's location, extent, and relationship with adjacent structures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".