{"id":"W4409150100","doi":"10.1016/j.ekir.2025.03.051","title":"Holistic Impact of CKD: A Clinical, Economic, and Environmental Analysis by IMPACT CKD","year":2025,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"EVERSANA (Canada)","funders":"AstraZeneca","keywords":"Medicine; Intensive care medicine; Environmental health; Environmental planning; Environmental 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":[0.003183349,0.0007690855,0.0005434635,0.001798319,0.0004190149,0.002347793,0.0007150076,0.000577434,0.00590127],"category_scores_gemma":[0.005933111,0.0003562937,0.001907898,0.002672636,0.0009053689,0.001791075,0.002529105,0.0010788,0.0002134271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003100621,"about_ca_system_score_gemma":0.003350454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02903247,"about_ca_topic_score_gemma":0.02086271,"domain_scores_codex":[0.9987395,0.0007442943,0.00003694141,0.00009421803,0.0002083013,0.0001766522],"domain_scores_gemma":[0.9975275,0.001527098,0.0002437396,0.00009872871,0.000382352,0.0002206031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004077007,0.0002925195,0.2443776,0.0006114405,0.001328438,0.0003904947,0.0002579958,0.677547,0.0002498334,0.03471546,0.007423149,0.03239843],"study_design_scores_gemma":[0.0002076324,0.0006909405,0.1794677,0.0005720092,0.0009834336,0.0004124329,0.001752777,0.7323004,0.0005049247,0.06288029,0.0200761,0.0001513377],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9017652,0.004192937,0.03563617,0.008228027,0.0001658592,0.0007841293,0.01067409,0.0001199073,0.03843367],"genre_scores_gemma":[0.9849786,0.001330014,0.01010896,0.0002430414,0.00005149775,0.0001841593,0.001909918,0.00003711222,0.001156662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02903247,"threshold_uncertainty_score":0.05772698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252074408212032,"score_gpt":0.3782279639133218,"score_spread":0.3657072198312014,"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."}}