Automatic stop orders reduced duration of indwelling urinary catheterisation in hospitalCommentary
Bibliographic record
Abstract
M Loeb Dr M Loeb, McMaster University, Hamilton, Ontario, Canada; loebm@mcmaster.ca Does a strategy of automatic stop orders reduce duration of indwelling urinary catheterisation in patients in hospital? ### Design: randomised controlled trial. ### Allocation: concealed. ### Blinding: blinded (patients). ### Follow-up period: until catheter removal or discharge from unit. ### Setting: 7 general medical units in 3 hospitals in Hamilton, Ontario, Canada. ### Patients: 692 patients in hospital (mean age 79 y, 62% women) with an indwelling urinary catheter inserted for ⩽48 hours. Patients with symptomatic urinary tract infection or an indwelling catheter inserted in the 10 days before hospital admission were excluded. ### Intervention: automatic stop orders to remove the catheter if the patient did not meet any of 6 criteria for appropriate catheterisation (urinary obstruction, …
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".