Hot Off the Press: Hospital Observation Upon Reversal (<scp>HOUR</scp>) With Naloxone: A Prospective Clinical Prediction Rule Validation Study
Bibliographic record
Abstract
This is a prospective observational study looking to validate a previously derived decision rule designed to help safely discharge opioid overdose patients from the emergency department after 1 hour. They included a convenience sample of 538 adult patients who had received naloxone pre-hospital and compared the Hospital Observation Upon Reversal (HOUR) rule with clinical judgement. The primary outcome of interest was a broadly defined composite of adverse events. The HOUR rule had a sensitivity of 84.1% (95% CI 76.2-92.1%) and a specificity of 62.1% (95% CI 57.6-66.5%), which was very similar to clinical judgement. Clinical judgement would have missed 12 adverse events, while the HOUR rule would have missed 13, although most of those adverse events were probably minor.
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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 | 0.010 | 0.079 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".