A case study surgical resection of perianal tumorous mass in male labrador
Bibliographic record
Abstract
This tumor was found in 8 year old male Labrador dog. History depicted normal body vitals including temperature of 101.8 oC and pulse of 90/minute except profuse bleeding from that region. On clinical examination, a localised tumorous mass was found between the region of tail and anus with profuse bleeding. In order to differentiate it from canine transmissible veneral tumor (CTVT) the sample material for cytological diagnostics were taken with help of impression smears & cytological impression smears were prepared and stained with Wrights Giemsa for diagnostic purpose. Results were suggestive of presence of normal cellularity, with normal sized nucleus. The dog was operated and the tumorous mass was surgically removed. After surgical resection of the mass, the dog was kept on broad spectrum antibiotics, analgesics, multivitamins along with supportive fluid therapy.
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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 | 0.000 |
| 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".