{"id":"W4391206233","doi":"10.1016/j.resplu.2024.100554","title":"Challenges & barriers for real-time integration of drones in emergency cardiac care: Lessons from the United States, Sweden, & Canada","year":2024,"lang":"en","type":"article","venue":"Resuscitation Plus","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institutes of Health; Hjärt-Lungfonden; ZOLL Medical Corporation","keywords":"Drone; Chain of survival; Medical emergency; Defibrillation; Medicine; Emergency medical services; Cardiopulmonary resuscitation; Aviation; Aeronautics; Basic life support; Business; Engineering; Emergency medicine; Resuscitation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009834957,0.000707896,0.001216203,0.002975011,0.007645906,0.01382069,0.002232486,0.002861769,0.008709416],"category_scores_gemma":[0.03228266,0.000493135,0.001592682,0.005133257,0.004662095,0.004314331,0.005075631,0.006176056,0.0009809349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05128311,"about_ca_system_score_gemma":0.3541301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9520547,"about_ca_topic_score_gemma":0.9769544,"domain_scores_codex":[0.9918105,0.001941768,0.000793008,0.0005387948,0.003128158,0.001787723],"domain_scores_gemma":[0.9505903,0.01133616,0.002175791,0.0006275241,0.02940615,0.005864173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002875614,0.0002064749,0.0357627,0.02816268,0.0005594473,0.003424286,0.02773304,0.001879847,0.000711946,0.04763107,0.2944045,0.5592365],"study_design_scores_gemma":[0.0000711345,0.0001447905,0.03659113,0.07404832,0.0007169836,0.0009706771,0.1176101,0.0006248911,0.0005422241,0.009147161,0.7592425,0.0002900827],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02226578,0.4165903,0.00154467,0.4923131,0.003659551,0.0002464928,0.001878594,0.00009255816,0.06140891],"genre_scores_gemma":[0.2304681,0.6947525,0.006875298,0.05750142,0.0009072161,0.0002744274,0.001231304,0.0001362596,0.007853439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05128311,"threshold_uncertainty_score":0.3720868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03672203197206338,"score_gpt":0.3237671355116518,"score_spread":0.2870451035395885,"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."}}