CYTOLOGICAL AND PATHOLOGICAL DIAGNOSIS OF ACANTHOMATOUS AMELOBLASTOMA IN LABRADOR DOG
Bibliographic record
Abstract
A three year female Labrador dog was presented to the Teaching Veterinary Clinical Complex, Akola, with history of hyporexia and rostral mandibular swelling.Oral examination revealed a pale mass at rostral mandible pressing against lower incisors.Fine needle aspiration cytology indicated a neoplasm of epithelial origin.The mass was surgically excised and histopathologically diagnosed as canine acanthomatous ameloblastoma (CAA) with atypical features.Histological examination showed multifocal ameloblastic islands within a dense proliferating epithelial layer, with irregular epithelial stratification at the basal layer.Intercellular bridging and nuclear polymorphism were also noted, confirming the diagnosis of CAA with atypical histomorphology.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".