{"id":"W2883974384","doi":"10.1016/j.rec.2018.06.010","title":"Risk Prediction Model of In-hospital Mortality in Patients With Myocardial Infarction Treated With Venoarterial Extracorporeal Membrane Oxygenation","year":2018,"lang":"en","type":"article","venue":"Revista Española de Cardiología (English Edition)","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Extracorporeal membrane oxygenation; Logistic regression; Myocardial infarction; Mortality rate; Internal medicine; Cardiology; Glasgow Coma Scale; Cardiogenic shock; Emergency medicine; Surgery","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001209451,0.0009684201,0.001087797,0.001059873,0.0003786839,0.001395108,0.0009567437,0.0008294806,0.003276852],"category_scores_gemma":[0.002898501,0.000382332,0.001997746,0.000558694,0.0001600036,0.0004547423,0.0005470468,0.001282941,0.0005167035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004584457,"about_ca_system_score_gemma":0.0009831173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008006698,"about_ca_topic_score_gemma":0.004836563,"domain_scores_codex":[0.9995713,0.0001350985,0.00004991403,0.0001178562,0.00004580299,0.00008013363],"domain_scores_gemma":[0.9986746,0.0007454286,0.0001462636,0.00005924714,0.0002172735,0.0001571519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001854486,0.0005731678,0.962142,0.0000822951,0.001032419,0.0004270303,0.0001158684,0.014516,0.0004423055,0.0004848768,0.002177836,0.0161518],"study_design_scores_gemma":[0.0002458076,0.0006151737,0.4877239,0.00009386671,0.002044566,0.0007107457,0.000434121,0.5048686,0.0004571927,0.00184346,0.0008855958,0.00007694802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856629,0.001045734,0.008987515,0.0007478976,0.0002101753,0.00005006236,0.001938654,0.0001042828,0.001252628],"genre_scores_gemma":[0.994087,0.000368303,0.002043855,0.00005458025,0.000149846,0.00007267237,0.002083207,0.00001459553,0.001126055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008006698,"threshold_uncertainty_score":0.01592016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005515405299363178,"score_gpt":0.188956059907266,"score_spread":0.1834406546079028,"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."}}