Histopathological features of cutaneous tumours arising from the vascular endothelial cells in dogs
Bibliographic record
Abstract
Cutaneous growths arising from the endothelial cells of blood vessels were studied in three dogs (Two in male cocker spaniels and one in male Labrador). All the three growths were surgically excised and referred to the Department of Veterinary Pathology, Tirupati for histopathological confirmation during the period from August 2015 to December 2015.Gross examination revealed, firm reddish, soft dark red and soft greyish red coloured masses and are diagnosed based on histopathological features as hemangiosarcoma, cavernous hemangioma and lipohemangioma respectively. In the case of hemangiosarcoma, severe necrosis along with the presence of blastomyces organisms as a secondary infection was also noticed. Occurring of these tumours might be because of exposure of lightly pigmented areas to Ultra Violet radiation.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".