A rare occurrence of intranasal transmissible venereal tumour with regional lymph node metastases in a Labrador dog
Bibliographic record
Abstract
A three-year old male Labrador dog was diagnosed with transmissible venereal tumour in the intranasal region. The dog was brought for the treatment with a history of bleeding from the right side nose. Clinical examination of the dog revealed severe bleeding associated with respiratory distress and enlarged sub-mandibular lymph node. Haemato-biochemical values of the dog showed no alterations for any parameters. Rhinoscopic examination of nasal cavity revealed reddish-white coloured multinodular growth. The cytology of the nasal discharge and fine needle aspirates of submandibular lymph node revealed a few round neoplastic cells of plasmacytoid subtype with punctate vacuoles. Immunocytochemical analysis of lymph node aspirates revealed positive expression for vimentin and CD3. Histopathological evaluation of the nasal growth revealed neoplastic cells with neutrophils and lymphocytes supported by stromal tissues.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".