{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002300438,0.00008044537,0.00025787,0.0002179681,0.00004501391,0.00004501951,0.00008273897,0.00007158178,0.0002900408],"category_scores_gemma":[0.00008632907,0.00008965583,0.00002900452,0.0001188061,0.00006437502,0.000184051,0.0001172946,0.00008044425,0.0001025003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001403627,"about_ca_system_score_gemma":0.00001388661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005882483,"about_ca_topic_score_gemma":0.0004113837,"domain_scores_codex":[0.9992478,0.0000215377,0.0002290395,0.0002811014,0.00001296354,0.0002075303],"domain_scores_gemma":[0.9995654,0.00004822694,0.00006308161,0.000164275,0.000004998557,0.0001540415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003714591,0.00001673523,0.6453244,0.0000815937,0.00002751702,0.000003807754,0.0001560624,0.00001459617,0.00000105919,0.3523374,0.0008135371,0.00118612],"study_design_scores_gemma":[0.0006163818,0.00002598718,0.6809989,0.000007863097,0.00001250751,4.613023e-7,0.00001537164,0.001136556,7.746894e-7,0.1089925,0.2080571,0.0001355127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479809,0.002359301,0.00006816012,0.03870799,0.0001499561,0.0001885361,0.00006749386,0.00001728139,0.0104604],"genre_scores_gemma":[0.9863932,0.001818727,0.0000240607,0.0110064,0.00006680294,0.00002768697,0.00001431093,0.000005766539,0.000643037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2433449,"threshold_uncertainty_score":0.8892594,"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."}}