Pushing the Limit: How to Get the Most Out of Cold Snares
Bibliographic record
Abstract
1Division of Gastroenterology, Centre hospitalier de l'université de Montréal (CHUM) and Research Center (CR-CHUM), Montreal, Quebec, Canada 2Section of Gastroenterology, White River Junction VA Medical Center, White River Junction, Vermont, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA Correspondence: Daniel von Renteln, MD, Division of Gastroenterology, Centre hospitalier de l'université de Montréal (CHUM) and Research Center (CR-CHUM), 900 Rue Saint-Denis, Montreal, Quebec H2X 0A9, Canada. E-mail: [email protected] Guarantor of the article: Daniel von Renteln, MD. Specific author contributions: Daniel von Renteln and Heiko Pohl: drafting and revision of the manuscript. All authors have approved the final manuscript submitted. Financial support: None. Potential competing interests: Heiko Pohl is a consultant for Interscope Inc. No conflict of interest exist for Daniel von Renteln. SUPPLEMENTARY MATERIAL accompanies this paper at https://links.lww.com/AJG/A750
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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 | 0.001 | 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".