{"id":"W2992509938","doi":"10.1053/j.ajkd.2019.10.001","title":"Screening for Asymptomatic Coronary Artery Disease in Waitlisted Kidney Transplant Candidates: A Cost-Utility Analysis","year":2019,"lang":"en","type":"article","venue":"American Journal of Kidney Diseases","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Alberta","funders":"National Health and Medical Research Council","keywords":"Medicine; Asymptomatic; Coronary artery disease; Quality-adjusted life year; Cost-effectiveness analysis; Cost effectiveness; Kidney transplantation; Cohort; Cost–utility analysis; Kidney disease; Intensive care medicine; Transplantation; Internal medicine; Pediatrics","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":[0.004088339,0.001313522,0.002199445,0.003188498,0.0003422595,0.002068378,0.00138984,0.001087898,0.003378834],"category_scores_gemma":[0.01426217,0.0006790112,0.005537648,0.003203118,0.0005637143,0.001659261,0.001319226,0.001466914,0.0002168261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003735836,"about_ca_system_score_gemma":0.001575766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01619112,"about_ca_topic_score_gemma":0.01134385,"domain_scores_codex":[0.9960522,0.002694402,0.000195366,0.0003068671,0.0004021999,0.0003491127],"domain_scores_gemma":[0.9919603,0.006211333,0.0007299451,0.0002756604,0.0004501528,0.0003725034],"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":[0.0377175,0.002626993,0.7885538,0.001485181,0.01936082,0.001100309,0.0002920679,0.0666835,0.001456535,0.005245782,0.003819402,0.07165806],"study_design_scores_gemma":[0.0040547,0.008528014,0.6716691,0.0005189506,0.0251738,0.001797525,0.00138268,0.2781948,0.0008105804,0.005052033,0.002579796,0.0002378935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833516,0.006050392,0.002967897,0.001165249,0.00004898661,0.0004443916,0.00403614,0.00002782285,0.001907497],"genre_scores_gemma":[0.9963335,0.0007407619,0.001123611,0.0001253546,0.00002849527,0.0000707736,0.001308912,0.000006560472,0.0002619689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01619112,"threshold_uncertainty_score":0.03219378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492106268275286,"score_gpt":0.2912803205813524,"score_spread":0.2763592578985996,"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."}}