{"id":"W2601498737","doi":"10.1161/circulationaha.116.025349","title":"Ranking Businesses and Municipal Locations by Spatiotemporal Cardiac Arrest Risk to Guide Public Defibrillator Placement","year":2017,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; ZOLL Medical Corporation; National Heart, Lung, and Blood Institute; Heart and Stroke Foundation of Canada; Institute of Circulatory and Respiratory Health; Scheme for Promotion of Academic and Research Collaboration; Laerdal Foundation for Acute Medicine; American Heart Association","keywords":"Automated external defibrillator; Downtown; Medicine; Medical emergency; Geolocation; Software deployment; Population; Cardiopulmonary resuscitation; Emergency medicine; Environmental health; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000871122,0.000429524,0.0002283586,0.003696883,0.0008184087,0.001184003,0.0007349055,0.0002858535,0.003086734],"category_scores_gemma":[0.006329749,0.0002108175,0.0003956964,0.003607286,0.0002402822,0.0004983844,0.001104891,0.0002872331,0.0008988879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002898638,"about_ca_system_score_gemma":0.005284549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5277814,"about_ca_topic_score_gemma":0.7772133,"domain_scores_codex":[0.9992448,0.0001302642,0.0001076467,0.0001465552,0.0002059178,0.0001648008],"domain_scores_gemma":[0.9963583,0.0003667413,0.001169942,0.0002068702,0.001425852,0.0004721467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003695432,0.00001263193,0.9859431,0.00007114122,0.00002959524,0.00008144271,0.0003312229,0.0005593845,0.0001379026,0.0001172329,0.006051552,0.006627772],"study_design_scores_gemma":[0.000008270576,0.00002721095,0.9892665,0.0001224265,0.00004059638,0.000110554,0.002200603,0.003534348,0.0001851684,0.0001100747,0.004377896,0.00001626044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368556,0.001161824,0.006100635,0.001166492,0.00006395199,0.0004698946,0.04441052,0.0002779936,0.009493092],"genre_scores_gemma":[0.9778321,0.0005540592,0.007720775,0.00005078017,0.00002197011,0.0001650682,0.01239304,0.00002576439,0.001236488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5277814,"threshold_uncertainty_score":0.9499993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237709487990355,"score_gpt":0.2979686420788758,"score_spread":0.2741976932798403,"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."}}