{"id":"W2921719464","doi":"10.1016/j.resuscitation.2019.03.013","title":"Patient and hospital factors predict use of coronary angiography in out-of-hospital cardiac arrest patients","year":2019,"lang":"en","type":"article","venue":"Resuscitation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston General Hospital; Clinical Evaluation Research Unit; University of Toronto; St. Michael's Hospital; Kingston Health Sciences Centre; Queen's University","funders":"Canadian Institutes of Health Research; Laerdal Foundation for Acute Medicine; Ontario Ministry of Health and Long-Term Care; Heart and Stroke Foundation of Canada","keywords":"Medicine; Coronary angiography; Emergency medicine; Cardiology; Internal medicine; Angiography; Intensive care medicine; Myocardial infarction","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":[0.0004284532,0.0002596489,0.0003322861,0.0006144227,0.0004337658,0.0009219711,0.0003216128,0.0009192099,0.003744721],"category_scores_gemma":[0.004965533,0.0002119488,0.0005689082,0.0005617916,0.0003188812,0.0005753836,0.0003236882,0.001333124,0.0003047521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002700787,"about_ca_system_score_gemma":0.0005515268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669396,"about_ca_topic_score_gemma":0.003059671,"domain_scores_codex":[0.9996746,0.00007755149,0.00005289692,0.00004158536,0.00005925349,0.00009419362],"domain_scores_gemma":[0.9960036,0.001618939,0.001165756,0.0001828884,0.000219193,0.0008097442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001965436,0.00008710955,0.9984143,0.00000612237,0.00004151457,0.0001079635,0.00002656212,0.0000693002,0.000151598,0.00003419049,0.0001053309,0.0007594755],"study_design_scores_gemma":[0.000009696694,0.0002209388,0.9977733,0.00002024055,0.00005918735,0.0005466905,0.0003407959,0.0006039736,0.0001070518,0.0001065859,0.0002029518,0.000008645368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977288,0.000276266,0.00009931574,0.0001752828,0.00002902534,0.00000844675,0.0001760742,0.000004029598,0.001502863],"genre_scores_gemma":[0.9992974,0.0001452713,0.0000882969,0.00005830789,0.00004625882,0.000004153051,0.0001868071,0.00000265873,0.0001709634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003744721,"threshold_uncertainty_score":0.01252735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007879669430443308,"score_gpt":0.2265066371056442,"score_spread":0.2186269676752009,"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."}}