An overall assessment of circumanal gland adenoma in a terrier mix breed dog
Bibliographic record
Abstract
In September 2012,a 10-year-old,intact male,terrier mix breed dog was evaluated because ofmultiple,0.5 to 1.2 cm in diameter,round,intradermal nodules around the anus.It had surgery toexcise a firm,painful swelling in the left ventrolateral perianal region and the excision part wasobserved under light microscopy.The mass spreading in to sub acute was of left hind leg out fromthe ventro-lateral of anus,1.2 cm伊1 cm/0 cm伊0.5 cm in size and 125 g in weight.A completeblood cell count,serum biochemistry panel,and urinalysis(cystocentesis sample)were evaluated.Significant laboratory data demonstrated microcytic anemia(hemoglobin of 6.4 mg/dL)and normalcoagulation times.No remarkable abnormalities were found in the complete blood count and anionized calcium of 1.91 mmol/L(reference range,1.1-1.3 mmol/L)was confirmed hypercalcemia.On cytologic and histopathologic examinations,evaluation of the aspirate revealed a prominentpopulation of round-to-polygonal nucleated cells arranged as cohesive groups with isolatedindividual cells.A mild degree of anisocytosis and anisokaryosis was observed.In addition,smaller reserve type cells,with darker cytoplasm and a higher nucleocytoplasmic ratio.Theadenomas generally retain the lobular architecture,but some may contain focal areas of cellularpleomorphism.These changes may suggest malignant transformation and have led to discordantinterpretations,the well-developed stroma surrounding the lobules and hepatoid cells was noted.Ulceration,hemorrhage,necrosis and secondary infection with inflammatory cell infiltrates arecommon.These cytology and histopathology features are consistent with hepatoid gland adenoma.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".