Laparoscopic ovariectomy in 2 queens with uterine unicornis.
Bibliographic record
Abstract
Two unrelated queens were presented for persistent signs of estrus despite a history of ovariohysterectomy. Uterine unicornis was suspected based on historical surgical findings. Anti-Müllerian hormone testing was consistent with the presence of ovarian tissue in both queens. Based on the ultrasonographic confirmation of unilateral abnormal structures in the ovarian region and ipsilateral absence of the kidney, a laparoscopic surgical approach was performed on each queen to remove remnant ovarian tissue. Laparoscopy confirmed the absence of a kidney ipsilateral to the remnant ovarian tissue. Both cats recovered from surgery and displayed no further signs of estrus. Key clinical message: To our knowledge, these are the first reported cases of feline uterine unicornis treated with a laparoscopic surgical approach. This minimally invasive approach, preceded by a thorough diagnostic work-up, may be of benefit to future queens with uterine unicornis. In addition, anti-Müllerian hormone testing has not been well-described in the literature when used in cats with remnant ovarian tissue. These cases may be of value to clinicians discovering the absence of a uterine horn when performing an ovariohysterectomy on queens.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".