{"id":"W2681644608","doi":"10.1111/acem.13246","title":"Prehospital Advanced Cardiac Life Support for Out‐of‐hospital Cardiac Arrest: A Cohort Study","year":2017,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Sante Montreal; Université de Montréal; Hôpital du Sacré-Cœur de Montréal; Montreal Heart Institute","funders":"","keywords":"Medicine; Emergency medicine; Advanced cardiac life support; Cohort; Advanced life support; Life support; Medical emergency; Intensive care medicine; Internal medicine; Resuscitation; Cardiopulmonary resuscitation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001109621,0.0005086241,0.0004680688,0.001001968,0.001049682,0.0011105,0.000890847,0.0005825121,0.001901915],"category_scores_gemma":[0.002139715,0.0005196477,0.000893664,0.001541171,0.0004072205,0.0008401746,0.0007987702,0.000877873,0.000303767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248687,"about_ca_system_score_gemma":0.002233948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08072117,"about_ca_topic_score_gemma":0.1006608,"domain_scores_codex":[0.9991363,0.0001267259,0.00007483584,0.0002810757,0.0001702457,0.0002110126],"domain_scores_gemma":[0.9983072,0.0001675345,0.0006950744,0.000201524,0.0002451703,0.0003834751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001072855,0.00006040892,0.9989762,0.000007195214,0.00008653947,0.00008136666,0.0001031021,0.00001209066,0.00008012963,0.00001211106,0.00008327841,0.0003903589],"study_design_scores_gemma":[0.00003255359,0.0002255292,0.9983637,0.00001585705,0.00007844425,0.0002955456,0.0005555998,0.0001686125,0.00002788371,0.0000124733,0.0002151176,0.000008834923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991725,0.0001264096,0.00006647499,0.00003247258,0.00000640218,0.00003284164,0.0004063261,0.000001952987,0.0001546399],"genre_scores_gemma":[0.9990442,0.0001600373,0.0000867924,0.00003883218,0.00001270754,0.00003025099,0.0004857125,0.000002036991,0.0001393576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08072117,"threshold_uncertainty_score":0.1605026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400278211709528,"score_gpt":0.3562550718428703,"score_spread":0.332252289725775,"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."}}