{"id":"W2953663850","doi":"10.1016/j.ekir.2019.05.508","title":"SUN-110 REGULAR SCREENING VERSUS NO SCREENING FOR ASYMPTOMATIC CORONARY ARTERY DISEASE IN WAIT-LISTED KIDNEY TRANSPLANT CANDIDATES: A MODELLED COST-EFFECTIVENESS ANALYSIS","year":2019,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Medicine; Asymptomatic; Coronary artery disease; Kidney transplant; Disease; Kidney transplantation; Intensive care medicine; Kidney disease; Internal medicine; Kidney","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":[0.007333396,0.001700794,0.00471914,0.001315169,0.0002878919,0.002473923,0.001938579,0.002639999,0.01600056],"category_scores_gemma":[0.02041198,0.001137386,0.008902977,0.001257182,0.0008444979,0.001940869,0.001177237,0.00317145,0.0005833288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005582053,"about_ca_system_score_gemma":0.002597622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01370449,"about_ca_topic_score_gemma":0.007391877,"domain_scores_codex":[0.9958541,0.003196238,0.0001502174,0.0002567517,0.0001817242,0.0003609932],"domain_scores_gemma":[0.9854556,0.01263108,0.0008634328,0.0002719731,0.0003035387,0.000474372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.06150877,0.00159893,0.005327595,0.004565177,0.01326565,0.0003226715,0.0001134868,0.8769062,0.0007072181,0.00974064,0.001973678,0.02396992],"study_design_scores_gemma":[0.05892954,0.03129375,0.0209762,0.003380038,0.05069104,0.0008751672,0.0005244939,0.8018784,0.001211862,0.02285632,0.007051846,0.0003313385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8891681,0.0276503,0.0371521,0.005082756,0.0009089627,0.004238822,0.01497955,0.0002910286,0.02052845],"genre_scores_gemma":[0.9882748,0.002260867,0.004267925,0.0004720537,0.00006236246,0.0009491848,0.001322854,0.00002760256,0.002362532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01600056,"threshold_uncertainty_score":0.05352724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0292971597196744,"score_gpt":0.3154925079634855,"score_spread":0.2861953482438111,"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."}}