{"id":"W4401890344","doi":"10.1002/emp2.13268","title":"Wearable devices for out‐of‐hospital cardiac arrest: A population survey on the willingness to adhere","year":2024,"lang":"en","type":"article","venue":"Journal of the American College of Emergency Physicians Open","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; University of Toronto; St. Paul's Hospital; Centre for Advancing Health Outcomes; International Collaboration On Repair Discoveries; University of British Columbia; Island Health; Research Canada; Centre for Excellence in Mining Innovation","funders":"","keywords":"Wearable computer; Wearable technology; Risk perception; Logistic regression; Medicine; Willingness to pay; Perception; Categorical variable; Medical emergency; Psychology; Applied psychology; Computer science; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001342866,0.0001716751,0.0001921496,0.000736696,0.000433634,0.0006607831,0.0002391315,0.0008018608,0.001770703],"category_scores_gemma":[0.003080405,0.0003045044,0.0005085696,0.0008188222,0.0002752164,0.0009364479,0.0005907974,0.0009169312,0.0006361503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002906997,"about_ca_system_score_gemma":0.0002905764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00500515,"about_ca_topic_score_gemma":0.004941684,"domain_scores_codex":[0.9992934,0.000221215,0.0001021664,0.00009904355,0.0001824498,0.000101534],"domain_scores_gemma":[0.9983157,0.0002553743,0.0007516133,0.00007338211,0.0003254525,0.0002783843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005586367,0.0002059839,0.9930099,0.00004423595,0.0000444559,0.00007494965,0.001509228,0.00003702575,0.0002934331,0.00002170367,0.0005057291,0.004197634],"study_design_scores_gemma":[0.000004556083,0.0002355544,0.9964227,0.00002050023,0.00001202563,0.0001575682,0.002548429,0.0001277998,0.00003586228,0.00001470564,0.0004132659,0.000006936393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984019,0.000067728,0.0001146772,0.0001632806,0.000004895328,0.00004418448,0.0004888277,0.000003533877,0.0007108512],"genre_scores_gemma":[0.9988299,0.0001185438,0.0001487283,0.0002039022,0.000006055496,0.00006960723,0.0002958162,0.000001904965,0.0003255586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00500515,"threshold_uncertainty_score":0.009952009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280752008259747,"score_gpt":0.3364846547971079,"score_spread":0.3084094539711332,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}