{"id":"W4394118925","doi":"10.6084/m9.figshare.20342178","title":"Additional file 1 of Prevalence, awareness and control of type 2 diabetes mellitus and risk factors in Chinese elderly population","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Diabetes Management and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Medicine; Population; Diabetes mellitus; Type 2 Diabetes Mellitus; Gerontology; Chinese population; Demography; Environmental health; Biology; Endocrinology; Genetics; Sociology; Genotype","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001060381,0.0008137601,0.001131992,0.001702609,0.0006018652,0.0007702495,0.001642658,0.0008182041,0.3081372],"category_scores_gemma":[0.009686029,0.0004851958,0.0006218117,0.004769973,0.000167911,0.001066897,0.0007629639,0.0007966571,0.02996723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420364,"about_ca_system_score_gemma":0.003005331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04410369,"about_ca_topic_score_gemma":0.04492436,"domain_scores_codex":[0.9994294,0.00008327973,0.0001334757,0.0001637482,0.0000754098,0.0001147419],"domain_scores_gemma":[0.9968645,0.001154987,0.00037924,0.000300711,0.001012547,0.0002879883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001809661,0.0000867929,0.01209611,0.002056179,0.00007320904,0.00005406308,0.00007113611,0.000342481,0.00005803066,0.000532156,0.9792829,0.005166015],"study_design_scores_gemma":[0.005002312,0.0003288131,0.303028,0.00462994,0.0005814031,0.0004427323,0.001171532,0.003563334,0.0005671133,0.003617615,0.676891,0.0001762122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003373561,0.00001906446,0.00003739116,0.00005613598,0.000008638559,0.00004335011,0.9991854,0.00002365468,0.0002890232],"genre_scores_gemma":[0.006287016,0.0001048458,0.0004318564,0.0001701505,0.00002638361,0.001087765,0.9901847,0.00003222107,0.001674992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3081372,"threshold_uncertainty_score":0.9868583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452081120451612,"score_gpt":0.2588690173537641,"score_spread":0.244348206149248,"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."}}