An incidental finding of numerous hypocellular nodules within a mandibular–sublingual gland complex sialocoele in a dog
Bibliographic record
Abstract
Abstract An 11‐month‐old female Labrador Retriever presented with a 3‐month history of a progressively enlarging, unilateral, ventral mandibular swelling. Cytology was consistent with saliva, and the dog was referred for further investigations. Computed tomographic (CT) imaging was performed, and findings were suggestive of a left‐sided mandibular sialocoele. The dog underwent sialoadenectomy surgery of the left mandibular–sublingual gland complex. On incising the thick capsule of the sialocoele, the swelling was incidentally found to contain hundreds of 1.5–2 mm firm, spherical structures. Cytological and histological examination of the structures demonstrated that these were non‐mineralised, hypocellular, proteinaceous nodules. The nodules were not able to be identified on review of the pre‐operative CT scan. To the authors’ knowledge, this is the first report of such radiolucent, proteinaceous nodules being present within a canine sialocoele.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".