{"id":"W2606555567","doi":"10.1016/j.semnephrol.2016.12.004","title":"Risk Prediction Models in CKD","year":2017,"lang":"en","type":"review","venue":"Seminars in Nephrology","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Seven Oaks General Hospital; University of Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Intensive care medicine; Triage; Kidney disease; Nephrology; Modalities; Dialysis; Disease; Modality (human–computer interaction); Quality of life (healthcare); Health care; Renal replacement therapy; Internal medicine; Emergency medicine; Computer science; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00350663,0.001801268,0.003932952,0.002540124,0.000253288,0.002703956,0.001943387,0.001979938,0.004876424],"category_scores_gemma":[0.009393428,0.0006392167,0.0029455,0.002301186,0.000588122,0.002328914,0.001269348,0.004262226,0.001255719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009282416,"about_ca_system_score_gemma":0.002765271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00373006,"about_ca_topic_score_gemma":0.004403875,"domain_scores_codex":[0.9989773,0.0003445795,0.0001802967,0.0001597348,0.0002867009,0.00005143294],"domain_scores_gemma":[0.9956895,0.003294871,0.0004421537,0.00007847309,0.0004092855,0.000085849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001582982,0.0001979064,0.002445984,0.02995601,0.001867079,0.0001429329,0.00007792658,0.002724499,0.0001096248,0.006348647,0.04172269,0.9142485],"study_design_scores_gemma":[0.0005704738,0.0005687328,0.01336192,0.1460869,0.01341613,0.002580486,0.0003615422,0.01647726,0.0009077722,0.06542667,0.7398188,0.0004235291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001529523,0.9979735,0.0006288766,0.000632702,0.0002329357,0.000006336705,0.00006257236,0.00001718383,0.0002929913],"genre_scores_gemma":[0.002537154,0.9947673,0.001059528,0.0006036638,0.0006363993,0.00001569025,0.0001491361,0.000005417915,0.0002257349],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004876424,"threshold_uncertainty_score":0.01854503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05349199061950181,"score_gpt":0.3498553605996462,"score_spread":0.2963633699801443,"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."}}