An automated external defibrillator in the home did not reduce all-cause mortality in patients at risk of cardiac arrestCommentary
Bibliographic record
Abstract
G H Bardy Dr G H Bardy, Seattle Institute for Cardiac Research, Seattle, WA, USA; gbardy@sicr.org In stable patients at increased risk of sudden cardiac arrest, does having an automated external defibrillator (AED) in the home reduce all-cause mortality compared with training in usual emergency procedures? ### Design: randomised controlled trial (Home Automated External Defibrillator Trial [HAT]). ### Allocation: {concealed}.* ### Blinding: blinded (outcome adjudication committee). ### Follow-up period: median 37 months. ### Setting: 178 clinical sites in the USA, Canada, Australia, the UK, New Zealand, the Netherlands, and Germany. ### Patients: 7001 patients (median age 62 y, 83% men) who had had anterior-wall myocardial infarction, were not candidates for implantable cardioverter-defibrillator (ICD) therapy, and had a spouse or companion at home who was willing and able to perform the study interventions. ### Intervention: provision of an AED for home use (n = 3495) …
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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 | 0.003 | 0.022 |
| 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 | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".