{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002817383,0.0002778586,0.001108747,0.0004095923,0.0002450009,0.000109343,0.0001455958,0.0001816546,0.0001457421],"category_scores_gemma":[0.001082412,0.0001730306,0.00004204842,0.0007373752,0.0002163529,0.0001749323,0.0001084995,0.001393829,0.00002011891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003184928,"about_ca_system_score_gemma":0.00007854099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008708635,"about_ca_topic_score_gemma":0.0000736662,"domain_scores_codex":[0.996769,0.0004624732,0.0004821859,0.0005709841,0.001030498,0.0006848566],"domain_scores_gemma":[0.9983786,0.0003332844,0.0001859457,0.0004045197,0.0003122017,0.00038545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007215918,0.0005825358,0.9913772,0.00005423765,0.0002018607,0.00001492431,0.0002841371,1.854191e-7,0.001815067,0.00001360735,0.0003750478,0.005209024],"study_design_scores_gemma":[0.004717832,0.001245782,0.9892105,0.0002773516,0.0002062355,7.08782e-7,0.00008728548,0.00001193451,0.001216146,0.00007724584,0.002764413,0.000184595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766058,0.02099245,1.640435e-7,0.0002047856,0.0002961529,0.001704293,0.00008575626,0.00001780017,0.00009275481],"genre_scores_gemma":[0.9948216,0.003760342,0.0001553211,0.0003946815,0.0002814247,0.0001412067,0.0003038349,0.00002784401,0.0001137218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01821578,"threshold_uncertainty_score":0.7055984,"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."}}