{"id":"W2806143306","doi":"10.7189/jogh.08.010803","title":"Prevalence, risk factors and burden of diabetic retinopathy in China: a systematic review and meta-analysis","year":2018,"lang":"en","type":"review","venue":"Journal of Global Health","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":368,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"China Scholarship Council","keywords":"Medicine; Meta-analysis; Diabetic retinopathy; Odds ratio; MEDLINE; China; Population; Epidemiology; Demography; Systematic review; Diabetes mellitus; Public health; Subgroup analysis; Environmental health; Internal medicine; Geography; Pathology","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":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00938858,0.002527066,0.0157708,0.006016523,0.0006843823,0.002330238,0.001886932,0.001674937,0.002294725],"category_scores_gemma":[0.01662135,0.001321215,0.03439094,0.007234596,0.0004905709,0.001213517,0.001315145,0.001190253,0.0001516191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002501092,"about_ca_system_score_gemma":0.004637088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170576,"about_ca_topic_score_gemma":0.01760843,"domain_scores_codex":[0.9945418,0.001931174,0.001774081,0.0007263437,0.0007268638,0.0002997202],"domain_scores_gemma":[0.9922609,0.004887347,0.001493352,0.0002888735,0.0009162198,0.0001533428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002099374,0.00005275467,0.02567303,0.329274,0.6222491,0.0002625601,0.0001378111,0.00127053,0.0002562354,0.0001645875,0.001005552,0.01755444],"study_design_scores_gemma":[0.0004844168,0.0001755163,0.01589233,0.01600448,0.9654,0.0001622025,0.00004896068,0.0004054949,0.0001042931,0.0001491011,0.001142112,0.00003106982],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01390431,0.983954,0.000431521,0.00021746,0.00008654533,0.0002249281,0.0009225196,0.00002273919,0.000235995],"genre_scores_gemma":[0.2697919,0.7245165,0.001776323,0.0006665871,0.0002228962,0.001063018,0.001658459,0.00002295075,0.0002813408],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9842292,"threshold_uncertainty_score":0.04965216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04456108349101725,"score_gpt":0.4011764111548243,"score_spread":0.356615327663807,"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."}}