Use of porcine small intestinal submucosa for reconstruction of a soft palate defect following marginal resection of a melanoma in a dog
Bibliographic record
Abstract
A 12-year-old castrated male golden retriever was referred for evaluation of a palatal mass. Computed tomography identified a 2.7 × 2.0 × 1.5 cm soft tissue mass extending from the caudal aspect of the hard palate to the rostral soft palate. Bilateral caudal maxillectomy was declined by owners; thus, a marginal resection was performed. The resultant palatal defect was closed using porcine small intestinal submucosa. Histopathology was consistent with a poorly pigmented malignant melanoma. The dog recovered well with no incisional complications or difficulty eating. The dog was euthanased 22 months postoperatively by the referring veterinarian. At the time of euthanasia, no evidence of local recurrence was noted. This report describes the novel use of porcine small intestinal submucosa for closure of a full-thickness palatal defect following marginal resection of a malignant oral melanoma.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".