{"id":"W2756084911","doi":"10.1371/journal.pmed.1002384","title":"HbA1c for type 2 diabetes diagnosis in Africans and African Americans: Personalized medicine NOW!","year":2017,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Personalized medicine; Type 2 diabetes; Family medicine; Alternative medicine; Diabetes mellitus; Precision medicine; MEDLINE; Gerontology; African american; Bioinformatics; 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":[],"consensus_categories":[],"category_scores_codex":[0.003190467,0.0008515429,0.001473819,0.001157685,0.0009039565,0.002417595,0.0006845692,0.002546879,0.01580018],"category_scores_gemma":[0.00837147,0.0003337898,0.001128684,0.001174403,0.0008660392,0.002907488,0.001296801,0.006894357,0.005272066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048238,"about_ca_system_score_gemma":0.001462485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005081044,"about_ca_topic_score_gemma":0.006709953,"domain_scores_codex":[0.9990423,0.000453502,0.00008658135,0.0001315613,0.0001750543,0.0001109152],"domain_scores_gemma":[0.9967228,0.001341634,0.0003912529,0.0002214183,0.0007551811,0.0005677684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001120674,0.000289694,0.0191592,0.000859232,0.0004125842,0.0003031251,0.0001859754,0.0002526426,0.001080717,0.008130617,0.3794627,0.5887427],"study_design_scores_gemma":[0.001195347,0.0008371313,0.1059528,0.01067931,0.002189109,0.00234061,0.001904914,0.001975095,0.001367587,0.09235506,0.7788869,0.0003162878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008161774,0.2409533,0.004482065,0.7215164,0.0133205,0.00005742114,0.001988628,0.000400979,0.009119047],"genre_scores_gemma":[0.1521998,0.3891746,0.02509447,0.3529326,0.06117358,0.0003542132,0.0039588,0.000274622,0.01483733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01580018,"threshold_uncertainty_score":0.05285686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03208123267763201,"score_gpt":0.2983451622003651,"score_spread":0.266263929522733,"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."}}