Carpet-Like Polypoid Lesion in Collagenous Colitis with Mucosal Giant Cells
Bibliographic record
Abstract
A 78-year-old woman experienced intermittent watery diarrhea for more than one year. There was no previous antibiotic use, travel or other medical history. The physical examination was normal. Laboratory studies, including bloodwork and fecal cultures, were negative. Colonoscopy revealed sigmoid diverticulosis and a broad-based sessile, 'carpet-like' polypoid lesion at the hepatic flexure appearing to occupy approximately 40% to 50% of the colonic circumference; consequently, the lesion was biopsied only (Figure Biopsy sections (Figures Subepithelial multinucleated giant cells were present (arrows). A trichrome stain highlighted the thickened basal collagen plate with entrapped nuclei (Figure Over the next few weeks, her diarrhea completely resolved on a high-fibre diet regimen alone.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".