Bowel Preparation, the First Step for a Good Quality
Bibliographic record
Abstract
In this issue of Intestinal research, Kang et al. investigate the efficacy and tolerability of bowel preparation for afternoon colonoscopy.8 Study subjects were randomized to one of two therapeutic dosing strategies: the same-day two sachets of picosulfate group (n=97, group A) vs. conventional split-dose 4 L polyethylene glycol (PEG) group (n=99, group B). The primary endpoint was bowel preparation success assessed by using the Ottawa scale. Patients ’ tolerability was assessed using a questionnaire immediately before colonoscopy to evaluate patient tolerability, adverse events, and sleep quan-tity. The number of polyps and adenomas detected were measured. The Ottawa score of the total colon was 4.05±1.56 in the group A and 3.80±1.55 in the group B (P =0.255). Bowel preparation success was achieved in 61.5 % of the same-day
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".