{"id":"W3095099370","doi":"10.1016/j.kint.2020.10.012","title":"The case for early identification and intervention of chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference","year":2020,"lang":"en","type":"article","venue":"Kidney International","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":573,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Akebia Therapeutics; Bayer HealthCare; Kidney Research UK; AstraZeneca; Fresenius Medical Care North America; Relypsa; International Society of Nephrology","keywords":"Kidney disease; Medicine; Intensive care medicine; Context (archaeology); Socioeconomic status; Intervention (counseling); Disease; Equity (law); Environmental health; Population; Internal medicine; Nursing; Political science","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":[0.07452907,0.002717146,0.0059035,0.002696693,0.004408602,0.01349786,0.006941793,0.0404212,0.01483929],"category_scores_gemma":[0.1058649,0.001031319,0.005923177,0.002006365,0.01045159,0.01953931,0.01060603,0.0716015,0.004947991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007806365,"about_ca_system_score_gemma":0.02943844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01183692,"about_ca_topic_score_gemma":0.01573065,"domain_scores_codex":[0.9755407,0.01034878,0.002571642,0.002590463,0.00658782,0.002360646],"domain_scores_gemma":[0.8552501,0.08422454,0.005264542,0.004647451,0.03445956,0.01615378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004716885,0.0002960004,0.001424216,0.001801325,0.0004764987,0.0002374972,0.0005432795,0.0003993388,0.0003211358,0.05278522,0.8478158,0.09342812],"study_design_scores_gemma":[0.0006980083,0.0002034622,0.003966901,0.01041799,0.0009369687,0.0002153028,0.002028886,0.00059498,0.0003665857,0.1202523,0.8600381,0.0002804893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000174618,0.03248286,0.0004117492,0.9497575,0.01580394,0.00001100522,0.0001059503,0.00002735291,0.001224877],"genre_scores_gemma":[0.009333218,0.04572291,0.003980515,0.8853123,0.05384227,0.0001075576,0.000268612,0.00009654136,0.001336142],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07452907,"threshold_uncertainty_score":0.3941521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550654639647917,"score_gpt":0.291273599419787,"score_spread":0.2757670530233078,"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."}}