Development of sialocoele following a mandibular rim excision for treatment of an oral fibrosarcoma in a dog
Bibliographic record
Abstract
Abstract A 12‐year‐old, neutered female, Labrador Retriever was referred to the Willows Veterinary Centre & Referral Service with a history of an oral mass adjacent and distal to 309 causing odynophagia. Biopsy of the mass resulted in an oral fibrosarcoma, which was subsequently removed via mandibular rim excision. Histology of the excised mandible confirmed removal with tumour‐free margins. Two months after surgery, the dog presented again with a 1.5 cm diameter pedunculated soft tissue lesion that had formed at the same location. Excision and histological examination confirmed a sialocoele, likely due to iatrogenic damage to a minor salivary gland of the oral cavity. Two years following the second surgery, no recurrence of the fibrosarcoma or the sialocoele was documented.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".