Feline Ovarian Pedicle Ligation: A Comparison of Two Techniques Taught among AAVMC Institutions
Bibliographic record
Abstract
Ligation of the feline ovarian pedicle during ovariohysterectomy is achieved, principally, via one of the following methods: double ligation of the ovarian pedicle or autoligation of the ovarian pedicle, also known as the pedicle tie. The objective of this study was to assess and quantify two methods of teaching feline ovariohysterectomies, specifically ligation of the ovarian pedicle, at American Association of Veterinary Medical Colleges-accredited veterinary schools. Surveys were sent to 52 AAVMC member schools, with an overall response rate of 67.3%. Of the 35 schools that responded to the survey, 34 (97.1%) reported that they teach double ligation of the feline ovarian pedicle, whereas 17 (48.6%) of respondents reported teaching autoligation of the feline ovarian pedicle (2 respondents indicated that a single ligature is sufficient). Only 1 of the schools that reported teaching pedicle ties indicated that it did not teach double ligation of the ovarian pedicle; 16 of the 35 schools that responded to the survey (45.7%) reported teaching both techniques. The results indicate that significantly fewer institutions are currently teaching autoligation of the feline ovarian pedicle than those teaching double ligation of the feline ovarian pedicle.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".