Adenocarcinoma of the Mammary Gland and Its Surgical Excision in a Male Dog – A Case Report
Bibliographic record
Abstract
An eight year old intact male Labrador dog was brought to the hospital with a history of swelling in the caudal abdominal region for the past 3 months and the owner also reported that the mass kept on growing. Physical examination revealed the presence of a hard, painless mass on the right caudal thoracic mammary gland. On clinical examination, all vital parameters were under normal range. On fine needle aspiration cytology the case was diagnosed as mammary gland adenocarcinoma. Pre-operative haemato-biochemical values were under normal range and thoracic radiograph showed no metastasis. Hence, surgery was fixed and a radical excision of right caudal thoracic mammary gland along with the draining lymph node was done. The excised mass was sent for histopathological analysis and the condition was once again confirmed as mammary gland adenocarcinoma. Post-operative care with antibiotics, supportive therapy and wound dressing were followed. Sutures were removed on 7th post-operative day, after the complete healing. Post-operative follow up was done for 3 months and the animal made an uneventful recovery with no recurrence.
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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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".