{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002486141,0.000183091,0.0003972109,0.00006638339,0.0001486192,0.0000142218,0.0002453219,0.00009265508,0.00006980996],"category_scores_gemma":[0.001887059,0.000140916,0.00003874525,0.00008762667,0.0006678537,0.000005897194,0.00007067862,0.00007856709,0.000002022785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001540719,"about_ca_system_score_gemma":0.00003068891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000130528,"about_ca_topic_score_gemma":0.0001657602,"domain_scores_codex":[0.9988843,0.00003462716,0.0002150987,0.000357537,0.0001561243,0.0003523312],"domain_scores_gemma":[0.9991451,0.0001043883,0.0001800894,0.0003425858,0.0000969809,0.0001308708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002607276,0.0004175065,0.7050731,0.0002442453,0.0006032352,0.000007654421,0.00165292,0.000002778869,0.1833485,0.0002719735,0.08282115,0.02529629],"study_design_scores_gemma":[0.02537493,0.01141801,0.2136198,0.001769315,0.001079409,0.000002588052,0.009262662,0.00104547,0.02066304,0.002932222,0.7110559,0.001776567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689413,0.00655176,0.00002429609,0.01917418,0.000189682,0.000416726,0.00003387565,0.00001494745,0.004653212],"genre_scores_gemma":[0.9938722,0.003533079,0.0001391262,0.001041751,0.0003779624,0.0001591953,0.0001053605,0.00002908605,0.0007423028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6282348,"threshold_uncertainty_score":0.5746387,"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."}}