{"id":"W2097605596","doi":"10.1007/s00125-014-3354-1","title":"Does genetic heterogeneity account for the divergent risk of type 2 diabetes in South Asian and white European populations?","year":2014,"lang":"en","type":"review","venue":"Diabetologia","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"McMaster University","keywords":"Single-nucleotide polymorphism; Type 2 diabetes; Odds ratio; Meta-analysis; Population; Genetics; Genetic association; Medicine; Genotype; Diabetes mellitus; Demography; Biology; Internal medicine; Environmental health; Endocrinology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0119866,0.0006875487,0.002360001,0.002986609,0.0004390876,0.002106439,0.0013131,0.001868995,0.002518467],"category_scores_gemma":[0.02851395,0.0005132412,0.006112124,0.004415765,0.001623543,0.001589715,0.001066109,0.0008251431,0.0002278851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005600175,"about_ca_system_score_gemma":0.001045596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004530451,"about_ca_topic_score_gemma":0.004316743,"domain_scores_codex":[0.9927027,0.003006305,0.001499833,0.001635014,0.0008199096,0.0003362488],"domain_scores_gemma":[0.9752672,0.01688749,0.005206914,0.001814246,0.0005231971,0.000301005],"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":[0.001684673,0.00005525883,0.903564,0.005998478,0.04791331,0.001125807,0.001121086,0.0007391907,0.0006586246,0.0015677,0.0008537106,0.03471812],"study_design_scores_gemma":[0.0006287749,0.0003894649,0.942064,0.002940319,0.03395574,0.001899967,0.001555294,0.001547122,0.0003263284,0.01195997,0.00265127,0.00008178035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7049645,0.2722091,0.006910157,0.008314515,0.0006119643,0.0002503846,0.001832746,0.0000781446,0.004828435],"genre_scores_gemma":[0.9839532,0.01296058,0.0008940583,0.00115652,0.0002769303,0.00008675325,0.0005075763,0.00001810912,0.0001462447],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0119866,"threshold_uncertainty_score":0.06339192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03327429513436745,"score_gpt":0.3031429360306366,"score_spread":0.2698686408962692,"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."}}