{"id":"W2007060992","doi":"10.1097/hco.0b013e32831217ed","title":"Predicting outcomes in cardiac surgery: risk stratification matters?","year":2008,"lang":"en","type":"review","venue":"Current Opinion in Cardiology","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Medicine; Logistic regression; Perioperative; Predictive modelling; Risk stratification; Intensive care medicine; Risk assessment; Actuarial science; Surgery; Statistics; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003955029,0.0005305291,0.004719394,0.0006967755,0.00005085467,0.00001330059,0.0001041632,0.000392558,0.00001428331],"category_scores_gemma":[0.0002568619,0.000440446,0.004728906,0.0004243912,0.00008422817,0.00005534711,0.00006851705,0.0007072639,0.00008103046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004849405,"about_ca_system_score_gemma":0.0004918396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009057471,"about_ca_topic_score_gemma":6.683881e-7,"domain_scores_codex":[0.9963473,0.001013886,0.001143765,0.0007697996,0.0002598619,0.0004654039],"domain_scores_gemma":[0.9978369,0.0008281692,0.000469218,0.0006602872,0.00005453287,0.0001508737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001026989,0.00008194094,0.6388146,0.004210016,0.0007114779,0.000008632695,0.00001555721,0.000002457763,3.251931e-9,0.000008646178,0.003379417,0.352757],"study_design_scores_gemma":[0.0004489626,0.00003407864,0.4178225,0.008309659,0.001109323,0.00004548074,0.00002371601,0.000002668072,1.432806e-8,0.00001361388,0.5718743,0.0003157278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006981892,0.986546,0.000005316915,0.00003464776,0.0100157,0.001655964,0.000879876,0.00005221567,0.0001120753],"genre_scores_gemma":[0.00141828,0.9923128,0.000007156404,0.000007177739,0.0009151381,0.0007753516,0.004499373,0.00005784499,0.000006874677],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5684949,"threshold_uncertainty_score":0.9998047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047627945459008,"score_gpt":0.4403681000192172,"score_spread":0.3356053054733165,"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."}}