{"id":"W4308801529","doi":"10.1186/s12902-022-01200-6","title":"Epidemiology of type 1 and type 2 diabetes mellitus in Kazakhstan: data from unified National Electronic Health System 2014–2019","year":2022,"lang":"en","type":"article","venue":"BMC Endocrine Disorders","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"European Association for the Study of Diabetes","keywords":"Medicine; Epidemiology; Diabetes mellitus; Type 2 Diabetes Mellitus; Type 2 diabetes; Type 1 diabetes; Environmental health; Internal medicine; Endocrinology","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":[0.001137029,0.0002591825,0.0003826569,0.002452873,0.0004642254,0.0006259542,0.0004945766,0.0002070766,0.001485012],"category_scores_gemma":[0.002760157,0.0001840227,0.0005621618,0.00497795,0.0002180551,0.0004089307,0.0008548896,0.0004079774,0.0002374991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113987,"about_ca_system_score_gemma":0.00148737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05131917,"about_ca_topic_score_gemma":0.04430777,"domain_scores_codex":[0.998676,0.0002956758,0.0003820908,0.0001961771,0.000226315,0.0002238192],"domain_scores_gemma":[0.9978726,0.0001744205,0.001233745,0.0001152156,0.0004588149,0.0001452874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005477379,0.00001513889,0.9941351,0.0001129079,0.00009122695,0.00003522708,0.0001197624,0.0001434052,0.00005499881,0.0000667199,0.002067185,0.003103596],"study_design_scores_gemma":[0.000003926805,0.00001742399,0.9978423,0.00004260038,0.00003880796,0.0001019785,0.0002950692,0.0001854832,0.00004410736,0.00004045717,0.001381701,0.000006062278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9299868,0.002543675,0.0004566981,0.0006239929,0.00007228473,0.00006539511,0.06461472,0.00005470895,0.001581746],"genre_scores_gemma":[0.9711384,0.0006933132,0.0004571167,0.0002023138,0.00003272621,0.0000960466,0.02704132,0.000005948233,0.0003328328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05131917,"threshold_uncertainty_score":0.1020409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192824469256525,"score_gpt":0.290046941419745,"score_spread":0.2707644944940925,"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."}}