{"id":"W4408884815","doi":"10.1111/hdi.13218","title":"The Impact of Socioeconomic Factors on the Prevalence of Hemodialysis in Mainland China","year":2025,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Per capita; Hemodialysis; Medicine; Socioeconomic status; Population; Demography; Environmental health; Economic growth; Internal medicine; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000571114,0.0002014147,0.0001579936,0.001007945,0.0003565085,0.0004600374,0.0002129718,0.0001483637,0.001339746],"category_scores_gemma":[0.001158123,0.0001247851,0.000451768,0.0009398136,0.0003229669,0.0003494309,0.0004863513,0.0002168343,0.00008864274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007018907,"about_ca_system_score_gemma":0.0009497382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03451503,"about_ca_topic_score_gemma":0.04035003,"domain_scores_codex":[0.9996336,0.00008031505,0.0000456769,0.00005881941,0.00008367022,0.00009794613],"domain_scores_gemma":[0.9992085,0.00009469882,0.0003472539,0.0000379967,0.0001169692,0.0001946401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001607634,0.00001139842,0.9977098,0.00001245331,0.00004027821,0.0000754853,0.00007622919,0.00006711631,0.0001153465,0.0000386043,0.00007583532,0.001761299],"study_design_scores_gemma":[5.546275e-7,0.000006506898,0.9997361,0.000003342485,0.000005844031,0.00002995897,0.00005589467,0.00008324286,0.00001451534,0.00001013867,0.00005280325,0.000001118848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984273,0.0003905138,0.00005858154,0.0001284125,0.000006001959,0.000005125592,0.0002707414,0.000002549536,0.0007109412],"genre_scores_gemma":[0.9995219,0.0001705339,0.00003157276,0.0000150048,0.000007185494,0.000002890455,0.0001604143,6.475645e-7,0.00008991668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03451503,"threshold_uncertainty_score":0.06862825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051351131112564,"score_gpt":0.2896739940170267,"score_spread":0.279160482705901,"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."}}