{"id":"W1983262294","doi":"10.1111/ctr.12466","title":"Contribution of impaired renal function to cardiovascular risk prediction models in renal transplant recipients","year":2014,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of Saskatchewan","funders":"","keywords":"Medicine; Renal function; Mace; Framingham Risk Score; Internal medicine; Creatinine; Odds ratio; Cardiology; Renal transplant; Urology; Risk factor; Transplantation; Myocardial infarction; Percutaneous coronary intervention","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":[0.01436352,0.001139715,0.0009308822,0.001492978,0.000363047,0.001693902,0.0009548782,0.0005026009,0.00112055],"category_scores_gemma":[0.03446105,0.0003120503,0.001569152,0.0009662423,0.0003609511,0.0006374439,0.001092799,0.001298012,0.0003548353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006732643,"about_ca_system_score_gemma":0.00135257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006037659,"about_ca_topic_score_gemma":0.003995311,"domain_scores_codex":[0.9959322,0.002677831,0.0002813758,0.0004670629,0.0004263454,0.0002152635],"domain_scores_gemma":[0.9745679,0.02025511,0.001994645,0.0008338122,0.00155687,0.0007915812],"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":[0.0008376805,0.000109008,0.9686654,0.00005092623,0.0008125759,0.00008111033,0.00007976317,0.01119861,0.00009974077,0.0001053451,0.0005013079,0.01745865],"study_design_scores_gemma":[0.0001231609,0.001100167,0.5960793,0.0001628387,0.001696209,0.0005483883,0.0002479471,0.3958533,0.0006215032,0.002184843,0.001312885,0.00006957503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869676,0.002622606,0.007920394,0.0006309171,0.00008547187,0.00005419887,0.0006499884,0.0001484806,0.0009202606],"genre_scores_gemma":[0.9970055,0.0003727596,0.001841077,0.00004777383,0.00006100258,0.00002526817,0.0004923586,0.00001714848,0.0001371821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01436352,"threshold_uncertainty_score":0.07596248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03975793362341482,"score_gpt":0.3165148976637398,"score_spread":0.276756964040325,"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."}}