{"id":"W3143317772","doi":"10.1080/0886022x.2021.1903928","title":"Survival outcomes and adverse events in patients with chronic kidney disease after coronary artery bypass grafting and percutaneous coronary intervention: a meta-analysis of propensity score-matching studies","year":2021,"lang":"en","type":"article","venue":"Renal Failure","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Propensity score matching; Kidney disease; Conventional PCI; Percutaneous coronary intervention; Adverse effect; Coronary artery disease; Bypass grafting; Artery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002698633,0.0002932096,0.001194878,0.0001646091,0.00006364519,0.00001075029,0.0000865166,0.00005758926,0.00007305662],"category_scores_gemma":[0.0002883059,0.0002097436,0.0002973261,0.0002884158,0.0001286587,0.000318939,0.0003087642,0.0002061441,4.850247e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139183,"about_ca_system_score_gemma":0.00006878291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001814633,"about_ca_topic_score_gemma":0.001092815,"domain_scores_codex":[0.9981906,0.0002571981,0.0005106256,0.0004394233,0.000375178,0.0002269726],"domain_scores_gemma":[0.9987436,0.0002808617,0.0002547984,0.0003358024,0.0002420752,0.0001428719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00037721,0.00030077,0.9708003,0.0005039158,0.02628235,0.0006388911,0.0005803711,0.00005091113,0.00008573685,0.0001902539,0.000007437313,0.0001818338],"study_design_scores_gemma":[0.0008638448,0.0001974248,0.9641866,0.0003477909,0.02789265,0.00003886421,0.0003551974,0.00005292902,0.00003328805,0.005716993,0.000003791916,0.0003105981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977475,0.0007158142,0.0007703854,0.0001612264,0.00001648307,0.0004150356,0.0001242857,0.00004549906,0.000003745872],"genre_scores_gemma":[0.9946994,0.00003332582,0.005005112,0.00005130081,0.000006160848,0.00005588699,0.00005986241,0.00002324323,0.00006566506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006613697,"threshold_uncertainty_score":0.8553097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08804451007661503,"score_gpt":0.338607501394673,"score_spread":0.250562991318058,"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."}}