{"id":"W2742969232","doi":"10.1016/j.resuscitation.2017.08.001","title":"Potential impact of a prehospital redirection system for refractory cardiac arrest","year":2017,"lang":"en","type":"article","venue":"Resuscitation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Jewish General Hospital; Montreal General Hospital; Sante Montreal; Université de Montréal; Hôpital du Sacré-Cœur de Montréal; Montreal Heart Institute","funders":"Fondation Institut de Cardiologie de Montréal; Richard I. Kaufman Endowment Fund in Anesthesia and Critical Care","keywords":"Medicine; Asystole; Cardiopulmonary resuscitation; McNemar's test; Emergency medicine; Extracorporeal cardiopulmonary resuscitation; Return of spontaneous circulation; Resuscitation; Emergency medical services; Cohort; Automated external defibrillator; Internal medicine","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":[0.001789887,0.0004753556,0.0002387267,0.0008653364,0.002330296,0.00287815,0.001970326,0.002591274,0.02077565],"category_scores_gemma":[0.006941514,0.0001605161,0.0007205925,0.0003660402,0.0009920426,0.001345377,0.001833742,0.001330162,0.002739889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282663,"about_ca_system_score_gemma":0.006339615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00645026,"about_ca_topic_score_gemma":0.01052537,"domain_scores_codex":[0.9983143,0.0007836279,0.00007041025,0.0001396747,0.0002175548,0.0004744823],"domain_scores_gemma":[0.9957319,0.001100351,0.0003800026,0.0003228304,0.001195005,0.001270036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006416201,0.00624335,0.2004876,0.001465183,0.0006157635,0.02804212,0.003365976,0.0178543,0.01871302,0.04312395,0.1234382,0.5502344],"study_design_scores_gemma":[0.003421124,0.03197358,0.3770551,0.0042487,0.001999749,0.04110714,0.04957294,0.06229454,0.02358701,0.05353113,0.3504292,0.0007798838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8054807,0.002953374,0.009972154,0.06734567,0.004348355,0.000779652,0.0009838521,0.001567381,0.1065689],"genre_scores_gemma":[0.9903877,0.0006091847,0.001983762,0.002885693,0.0005068742,0.0001017481,0.0001719338,0.00003779685,0.00331527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02077565,"threshold_uncertainty_score":0.06950146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203485389751749,"score_gpt":0.304335286258695,"score_spread":0.2923004323611776,"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."}}