{"id":"W2934173242","doi":"10.28996/2618-9801-2019-1-9-18","title":"Burden, access, and disparities in kidney disease","year":2019,"lang":"en","type":"article","venue":"Nephrology and Dialysis","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Kidney disease; Disease; Medicine; Internal medicine","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":[0.002372829,0.0001705113,0.0004198618,0.001601471,0.0005069043,0.001609133,0.0003552584,0.001055462,0.004473418],"category_scores_gemma":[0.01593124,0.0002041889,0.0005910061,0.002667056,0.001045573,0.001855466,0.001648544,0.001411712,0.0001611396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421425,"about_ca_system_score_gemma":0.001447578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03061273,"about_ca_topic_score_gemma":0.03008821,"domain_scores_codex":[0.9983886,0.0007530854,0.0001202044,0.000114433,0.0002486778,0.0003750098],"domain_scores_gemma":[0.9899483,0.005101196,0.002804662,0.0003630912,0.0005324152,0.001250344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00016546,0.0002253739,0.9414483,0.00007854609,0.0002697843,0.0001286802,0.0003753111,0.003732454,0.00004756344,0.03850272,0.003366569,0.01165922],"study_design_scores_gemma":[0.00003625455,0.00009656867,0.8871527,0.0001882025,0.0002220136,0.0002363455,0.002700849,0.01215525,0.00007610728,0.09107179,0.006031578,0.0000323331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93418,0.01149853,0.002151022,0.038626,0.0002163792,0.00002269202,0.002451262,0.00001920225,0.01083496],"genre_scores_gemma":[0.9971479,0.001555891,0.0001205327,0.0001876332,0.0002002067,0.000005231615,0.0003360494,0.000002369205,0.0004441929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03061273,"threshold_uncertainty_score":0.0608691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454999275851398,"score_gpt":0.2566213552056377,"score_spread":0.2320713624471237,"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."}}