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 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 | 0.002 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".