Emphysematous hepatitis, emphysematous gastritis, and pneumatosis coli in a 5-month-old Shiba Inu dog.
Bibliographic record
Abstract
alpha toxin gene. The dog was treated medically with intravenous fluids, antimicrobial therapy, gastric decompression, and supportive treatments. Rapid clinical improvement was noted, accompanied by improvements on repeat abdominal ultrasonography examinations and blood work. A positive outcome was observed in this dog. The etiology for emphysematous infection was unclear, with multiple risk factors reported in human literature. In this case, administration of nonsteroidal anti-inflammatory medication, preexisting enteropathy, and recent abdominal surgery may have contributed to disease development. This is the first report of concurrent emphysematous gastritis, pneumatosis coli, and emphysematous hepatitis in a dog. This case report could aid practitioners in recognizing, diagnosing, and treating emphysematous infections in dogs with acute abdominal symptoms. Key clinical message: This is the first report of concurrent emphysematous gastritis, pneumatosis coli, and emphysematous hepatitis in a dog. The report provides information regarding the pathogenesis of, risk factors for, and diagnosis and treatment of emphysematous infections.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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 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".