{"id":"W2973584137","doi":"10.1016/j.jacc.2019.06.075","title":"In Silico Trial of Optimized Versus Actual Public Defibrillator Locations","year":2019,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; St. Michael's Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Danish Foundation TrygFonden; American Heart Association; Novo Nordisk; Heart and Stroke Foundation of Canada; Bayer","keywords":"Medicine; In silico; Medical emergency; Genetics","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":[0.004331237,0.0009432246,0.0009659496,0.000293865,0.000291207,0.001077911,0.001203209,0.001491731,0.005901857],"category_scores_gemma":[0.01544664,0.0004115574,0.0009166416,0.0001986201,0.001012667,0.0008965672,0.0005035242,0.001110328,0.0005202192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006542724,"about_ca_system_score_gemma":0.0007131059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927149,"about_ca_topic_score_gemma":0.001624211,"domain_scores_codex":[0.9985328,0.001015277,0.00004795107,0.0002321808,0.00007312111,0.00009865521],"domain_scores_gemma":[0.956749,0.04018326,0.0009048003,0.0009192548,0.0007685332,0.0004751438],"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":[0.1488259,0.006041198,0.02814617,0.001090822,0.002190859,0.0004260773,0.0002167834,0.7699561,0.006396327,0.007069277,0.008716772,0.02092377],"study_design_scores_gemma":[0.0260318,0.03227963,0.01203166,0.0001214602,0.001665101,0.0003478494,0.0002970255,0.91123,0.007958055,0.005995365,0.001915903,0.0001260938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874221,0.0004054662,0.007359731,0.0007342523,0.0002269948,0.00009768082,0.001048603,0.0001218469,0.002583413],"genre_scores_gemma":[0.9960795,0.00005346363,0.002173363,0.0001423879,0.00005541944,0.00005042919,0.0006331272,0.00001910582,0.0007931522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005901857,"threshold_uncertainty_score":0.02290601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744483070255479,"score_gpt":0.292120754588907,"score_spread":0.2746759238863521,"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."}}