Development of Presumptive Sialadenosis Following a Chronic Oropharyngeal Stick Injury in a Dog
Bibliographic record
Abstract
A 3 yr old female spayed Labrador retriever was referred for the treatment of a chronic oropharyngeal stick injury. After computed tomography scan evaluation, the cervical area was explored surgically and a right-sided cervical abscess that contained a wooden stick was identified adjacent to the vagosympathetic trunk and carotid artery. The ipsilateral mandibular salivary gland was resected concurrently given its abnormal appearance, and histology confirmed inflammation and necrosis of the gland, which was suspected to be due to direct trauma from the foreign body. The clinical signs initially improved but then recurred, and a follow-up computed tomography scan was suggestive of sialadenosis or sialadenitis in the right parotid, zygomatic, and molar salivary glands. A presumptive diagnosis of sialadenosis was made and a course of phenobarbital was initiated. The clinical signs resolved completely within a few days, and there was no recurrence several months after termination of the phenobarbital treatment. This is the first case report of presumptive sialadenosis in a dog as a suspected complication of an oropharyngeal stick injury. Informed consent was obtained from the owner of the dog and the patient was managed according to contemporary standards of care.
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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 | 0.002 |
| 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) | 0.001 | 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".