{"id":"W3038920242","doi":"10.1161/jaha.120.016687","title":"Improving Access to Automated External Defibrillators in Rural and Remote Settings: A Drone Delivery Feasibility Study","year":2020,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa; Queen's University; Brampton Civic Hospital; Schwartz/Reisman Emergency Medicine Institute; North York General Hospital; Sunnybrook Health Science Centre; Sinai Health System; Health Sciences Centre; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Drone; Sudden cardiac arrest; Medical emergency; Defibrillation; First responder; Emergency medical services; Chain of survival; Medicine; Ambulance service; Automated external defibrillator; Basic life support; Aeronautics; Emergency medicine; Simulation; Computer science; Cardiopulmonary resuscitation; Resuscitation; Engineering; Cardiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008634955,0.00007829624,0.0004260352,0.00008232091,0.00005937776,0.00005544122,0.00006348004,0.0000243314,9.99825e-7],"category_scores_gemma":[0.0014356,0.00005611623,0.0001206161,0.000478639,0.00001972563,0.0001742364,0.00007885328,0.0002066449,0.000001463945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004704813,"about_ca_system_score_gemma":0.0001008264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004226287,"about_ca_topic_score_gemma":0.00003522147,"domain_scores_codex":[0.9986945,0.000264502,0.0003739548,0.0001026126,0.0004263366,0.0001380535],"domain_scores_gemma":[0.9990042,0.0001382688,0.0004771696,0.00007904828,0.0001765517,0.0001247845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003698379,0.00003573292,0.9765838,0.00001269206,0.00004672662,0.000005072868,0.001244855,0.00008040095,0.01550649,5.114205e-8,0.0005590525,0.005555232],"study_design_scores_gemma":[0.0008727839,0.0003697156,0.9939388,0.00009872096,0.00008635873,0.00001304414,0.001396927,0.002893311,0.0002425371,0.000006295825,0.00002598135,0.00005554272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936041,0.00004380955,0.0000321946,0.005648165,0.0002421221,0.0003961657,0.000001649045,0.0000227746,0.000009022276],"genre_scores_gemma":[0.9976187,0.000009241768,0.0006104805,0.001462808,0.0002852481,5.8009e-7,2.106164e-7,0.000008927475,0.00000381642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01735492,"threshold_uncertainty_score":0.2288353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432358988473772,"score_gpt":0.3134474023847079,"score_spread":0.2991238124999702,"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."}}