Spontaneous haemoabdomen due to a ruptured primary splenic mast cell tumour in a dog
Bibliographic record
Abstract
Abstract A 14‐year‐old, female, spayed warren hound presented with an acute history of collapse, pale mucous membranes and abdominal distension. Abdominal ultrasound and abdominocentesis revealed a haemoabdomen secondary to a ruptured splenic mass. The dog underwent an emergency splenectomy and splenic histopathology, including toluidine blue staining, was consistent with a mast cell tumour. The dog was diagnosed with a primary splenic mast cell tumour based on the absence of a primary mast cell tumour in another location at the time of presentation or in a review of the dog's medical record. Following surgery, staging identified hepatic infiltration, and adjuvant chemotherapy with vinblastine and prednisolone was started. The dog was euthanased 97 days after surgery due to progressive disease and recurrence of the haemoabdomen. Visceral mast cell tumours should be considered as an uncommon differential diagnosis in dogs presenting with haemoabdomen due to a ruptured splenic mass.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 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".