{"id":"W1966155603","doi":"10.1016/j.resuscitation.2012.11.019","title":"Modeling the impact of public access defibrillator range on public location cardiac arrest coverage","year":2012,"lang":"en","type":"article","venue":"Resuscitation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Queen's University; University of Toronto","funders":"Institute of Circulatory and Respiratory Health; Heart and Stroke Foundation of Canada; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; American Heart Association","keywords":"Medicine; Automated external defibrillator; First responder; Defibrillation; Medical emergency; Public access; Software deployment; Range (aeronautics); Public place; Emergency medical services; Retrospective cohort study; Emergency medicine; Cardiopulmonary resuscitation; Resuscitation; Cardiology; Internal medicine; Engineering; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009963774,0.0007650426,0.0007705094,0.000808228,0.0005017046,0.001769072,0.001885082,0.002838218,0.009777291],"category_scores_gemma":[0.006658096,0.000824208,0.001171548,0.0008944793,0.0007999944,0.001663238,0.0009727237,0.001972977,0.0006149999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002671955,"about_ca_system_score_gemma":0.001666166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1073738,"about_ca_topic_score_gemma":0.06172987,"domain_scores_codex":[0.9993837,0.0002131288,0.00001610963,0.0000969903,0.0000438586,0.0002462948],"domain_scores_gemma":[0.9953629,0.003482276,0.0004060353,0.0001007766,0.0003017249,0.0003462788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007203595,0.00008033072,0.003808208,0.000009319117,0.00001886764,0.00005808844,0.00002011885,0.9924575,0.00009421602,0.001922959,0.0005315518,0.0009267562],"study_design_scores_gemma":[0.00003105642,0.00006567739,0.002072181,0.000006328485,0.00002421962,0.00002152887,0.000115505,0.9959682,0.00006958277,0.001265802,0.0003499459,0.00000990111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649251,0.0004079685,0.009081585,0.002900585,0.0001104519,0.00005328872,0.002486517,0.0001100607,0.01992452],"genre_scores_gemma":[0.9936802,0.000126612,0.0007653189,0.00009176796,0.00002902175,0.00001959708,0.0003706847,0.00001992674,0.004896892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1073738,"threshold_uncertainty_score":0.2134977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05421702429887467,"score_gpt":0.337187421006587,"score_spread":0.2829703967077123,"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."}}