Imaging Diagnosis—Intestinal Leiomyositis in a 3‐Year‐Old Labrador Retriever
Bibliographic record
Abstract
A 3-year-old male neutered Labrador Retriever was originally presented to his primary care veterinarian for a 3-4-week history of hyporexia, a 1-week history of anorexia, and vomiting. There was moderate gastrointestinal (GI) distention with heterogeneous soft tissue luminal material within the small intestine in screening abdominal radiographs. Referral and computed tomography were performed, identifying a severe generalized dilation of the GI tract but no obstructive lesion. Severe functional intestinal ileus without obstruction was diagnosed. The patient underwent laparotomy with full-thickness intestinal surgical biopsies due to presumptive infiltrative enteropathy, yielding a diagnosis of intestinal leiomyositis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".