Emphysematous splenic torsion in a German shepherd dog.
Bibliographic record
Abstract
A 9-year-old castrated male German shepherd dog was presented because of a 2-day history of lethargy and anorexia. Abdominal distention and free peritoneal fluid were noted on physical examination, which prompted radiographs revealing a large, soft tissue and stippled gas opaque structure in the right cranial abdomen. Computed tomography was used to further describe the structure and assess for comorbidities in the dog. Both CT and abdominal radiographs supported a diagnosis of emphysematous splenic torsion. The enlarged spleen was surgically extracted, along with sections of necrotic omentum. Four days after the procedure, the dog developed a portal vein thrombus and secondary abdominal effusion, which ultimately led to the decision for humane euthanasia. Veterinarians should know the different imaging modalities used to diagnose splenic torsion and the possible postoperative complications following treatment.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.003 | 0.002 |
| 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".