{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005448303,0.0002612337,0.0005223523,0.0002151611,0.00004766517,0.00003585038,0.0001211923,0.0002448125,0.00002047826],"category_scores_gemma":[0.0001220146,0.0002411016,0.00008978329,0.0004178812,0.0001252863,0.000557368,0.0000164488,0.0003057033,0.000002989329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003262273,"about_ca_system_score_gemma":0.00006341052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003585896,"about_ca_topic_score_gemma":0.00003022916,"domain_scores_codex":[0.998148,0.0001785003,0.0005846992,0.0003781651,0.0003855203,0.0003250614],"domain_scores_gemma":[0.9989079,0.00004519218,0.000199687,0.0003512763,0.0003898851,0.0001061067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002666169,0.0001084186,0.9531919,0.0001014398,0.0001813628,0.00000576068,0.0002811782,0.04496957,0.0002650568,0.000162278,0.0001107058,0.000355705],"study_design_scores_gemma":[0.001992167,0.0005882076,0.9669457,0.0001152702,0.000152948,0.000001754346,0.00003819777,0.02933165,0.0003764629,0.00007347535,0.0001160033,0.0002681504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930351,0.00001675697,0.004578474,0.000002383644,0.0005198779,0.0006346771,0.0004652069,0.0001815073,0.0005660076],"genre_scores_gemma":[0.9979804,0.00001762327,0.0002334886,0.000006168837,0.0009238808,0.0001037057,0.0006882586,0.00004552509,9.438696e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01563791,"threshold_uncertainty_score":0.9831836,"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."}}