‘Fish-eye’ polypectomy defect: a new sign during endoscopic mucosal resection?
Bibliographic record
Abstract
A 75-year-old man was referred for the endoscopic management of an 80 mm large non-pedunculated colorectal polyp (LNPCP) in the sigmoid colon. The lesion was evaluated under white-light (figure 1A), narrow-band imaging and near-focus. Granular nodular-mixed type morphology was identified with a homogeneous surface pattern (Kudo IV, Japan NBI Expert Team IIA) consistent with benign adenomatous histopathology. Figure 1 80mm large non-pedunculated colorectal polyp (LNPCP) in the sigmoid colon. Piecemeal endoscopic mucosal resection was performed (figure 1A,B). After successful resection of the first specimen, defect evaluation revealed a hole within a white cautery ring, most consistent with a perforation without contamination (sydney deep mural injury (DMI) classification type IV1; figure 1D). A viscous amorphous …
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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) | 0.001 | 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 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".