Successful surgical excision of vaginal leiomyoma in a labrador bitch
Bibliographic record
Abstract
Neoplasia of reproductive system in bitch is more common in lower reproductive tract i.e. vagina and vulva, as compare to uterus and ovaries. Majority of the canine vaginal or vulvar neoplasms are leiomyoma, leiomyosarcoma, fibroma and transmissible venereal tumor Vaginal leiomyomas may be single or multiple, intraluminal or extraluminal and usually round or oval, well Defined and encapsulated. Minimum size of excised masses of various sizes was ranging from 0.4 x 0.2 to 2.4 x 2.3 inches and weighing 0.65 to 113 grams, respectively. A case of multiple vaginal leiomyoma that was presented to the department of Veterinary Gynecology, Veterinary College, Gadag, was successfully surgically excised andafter 10 days the bitch was completely recovered from surgical wound and reported.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".