{"id":"W4378364408","doi":"10.1016/j.kint.2023.05.013","title":"Trends and perspectives for improving quality of chronic kidney disease care: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference","year":2023,"lang":"en","type":"article","venue":"Kidney International","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Bayer HealthCare; AstraZeneca; Eli Lilly and Company","keywords":"Kidney disease; Medicine; Intensive care medicine; Psychological intervention; Health care; Quality management; Disease management; MEDLINE; Disease; Quality of life (healthcare); Pathology; Internal medicine; Nursing; Operations management; Management system; Engineering","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":[0.03341754,0.001678497,0.001940153,0.004728066,0.002871737,0.01409974,0.003081273,0.01139809,0.01027822],"category_scores_gemma":[0.04865052,0.0005209002,0.003367302,0.005683355,0.003404139,0.01265699,0.007025225,0.01836228,0.002967691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01252078,"about_ca_system_score_gemma":0.03392047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01316743,"about_ca_topic_score_gemma":0.01850289,"domain_scores_codex":[0.9878075,0.004236506,0.001353498,0.0008482556,0.004303615,0.001450725],"domain_scores_gemma":[0.9538521,0.01912909,0.002545378,0.0007408955,0.01937163,0.004360988],"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":[0.0002242947,0.0001303368,0.002014858,0.004833016,0.000168011,0.0001754631,0.001424112,0.0003319496,0.0003186399,0.0391263,0.6937123,0.2575407],"study_design_scores_gemma":[0.00005448737,0.00009842517,0.004173771,0.0122417,0.0002628787,0.0001674946,0.003792427,0.0002860777,0.000252568,0.02986053,0.9487021,0.0001077209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000511724,0.1452876,0.0005133689,0.8327037,0.01747321,0.00003306903,0.0003866894,0.00003751371,0.003053114],"genre_scores_gemma":[0.02772009,0.4746305,0.008222258,0.4356289,0.04525813,0.0003250251,0.001844294,0.0001186453,0.006252197],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03341754,"threshold_uncertainty_score":0.1767309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025039310944334,"score_gpt":0.3271629510831601,"score_spread":0.3021236401388261,"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."}}