{"id":"W1985349463","doi":"10.1002/dmrr.1082","title":"Candidate gene association study conditioning on individual ancestry in patients with type 2 diabetes and metabolic syndrome from Mexico City","year":2010,"lang":"en","type":"article","venue":"Diabetes/Metabolism Research and Reviews","topic":"Sirtuins and Resveratrol in Medicine","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; Canadian Institutes of Health Research; Instituto Mexicano del Seguro Social; Consejo Nacional de Ciencia y Tecnología","keywords":"TCF7L2; Type 2 diabetes; Allele; Genetics; Biology; Candidate gene; SNP; Body mass index; Internal medicine; Genetic association; Metabolic syndrome; Allele frequency; Single-nucleotide polymorphism; Diabetes mellitus; Genotype; Endocrinology; Medicine; 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":[0.0004602916,0.0003308264,0.0004778867,0.0007471865,0.001067462,0.0006586786,0.0002881558,0.0004408245,0.003544918],"category_scores_gemma":[0.001386754,0.0002134188,0.0005664763,0.001040258,0.0002303529,0.0001483765,0.0004373828,0.0004363046,0.0001818698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256366,"about_ca_system_score_gemma":0.0003609324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01765896,"about_ca_topic_score_gemma":0.0141517,"domain_scores_codex":[0.9996749,0.00009538818,0.0000197126,0.0001280695,0.00003036306,0.00005156904],"domain_scores_gemma":[0.9995109,0.0001163165,0.0001733408,0.00006074689,0.00005371221,0.00008492013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003475529,0.00002657558,0.9978709,0.000006625502,0.0001349146,0.0002258207,0.00007853761,0.00002302576,0.0002945471,0.00002199194,0.0001248239,0.0008447451],"study_design_scores_gemma":[0.00004070788,0.00007437545,0.9987136,0.000008528834,0.000156194,0.0003449551,0.0001133066,0.000151353,0.00004338691,0.00001933293,0.0003315313,0.000002629772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992061,0.0001316018,0.00008490987,0.00004045096,0.000007102895,0.000006876895,0.0002105345,0.000002683911,0.0003097133],"genre_scores_gemma":[0.9991413,0.00007662902,0.0001257626,0.00002869754,0.00001197111,0.00001435544,0.0003329368,0.000003046591,0.0002653032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01765896,"threshold_uncertainty_score":0.03511232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090617292959307,"score_gpt":0.3339965262565532,"score_spread":0.2930903533269601,"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."}}