{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001632197,0.0004254852,0.001481783,0.0001500076,0.0003619913,0.000002216377,0.0004475947,0.0003271718,0.0001892586],"category_scores_gemma":[0.004101939,0.0003417668,0.0005702532,0.0001468883,0.0003626196,0.0003003589,0.0001471693,0.0006242376,0.00003680454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007703888,"about_ca_system_score_gemma":0.0002356607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001300385,"about_ca_topic_score_gemma":0.000005672428,"domain_scores_codex":[0.996163,0.00007941435,0.001411911,0.0007418208,0.001017447,0.0005864289],"domain_scores_gemma":[0.9966118,0.0001400024,0.0009225339,0.001259989,0.0005508882,0.0005148284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003196659,0.0001866161,0.9475821,0.0002312884,0.001013114,0.000006285022,0.003811317,0.000002651727,0.00258591,0.0001002565,0.0431504,0.001010413],"study_design_scores_gemma":[0.003003015,0.0024793,0.9603705,0.0002293246,0.001845457,1.324113e-7,0.002684576,0.00001702913,0.0002257266,0.0001467528,0.02862478,0.0003733563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9043017,0.002200331,0.00008882331,0.001924514,0.08000327,0.005272317,0.00008519477,0.00009573377,0.006028119],"genre_scores_gemma":[0.9860795,0.00409821,0.0001032041,0.00004770918,0.007046074,0.0006766012,0.0001898287,0.00008305845,0.00167585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08177777,"threshold_uncertainty_score":0.9999034,"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."}}