{"id":"W4235774439","doi":"10.14740/jem383w","title":"Genetic Ancestry Is Associated With Systolic Blood Pressure and Glucose in Brazilian Children and Adolescents","year":2016,"lang":"en","type":"article","venue":"Journal of Endocrinology and Metabolism","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blood pressure; Medicine; Confounding; Anthropometry; Obesity; Demography; Linear regression; Ancestry-informative marker; Internal medicine; Genetic genealogy; Ethnic group; Genetics; Genotype; Biology; Allele frequency; Population; Gene; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000428438,0.0002501729,0.0002909886,0.000703734,0.0004355249,0.0004524327,0.0002378771,0.0002522748,0.00138974],"category_scores_gemma":[0.001915272,0.0002494289,0.000305574,0.0008006723,0.0004515109,0.0001435422,0.0004004597,0.0002761706,0.0001284791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002372384,"about_ca_system_score_gemma":0.0002708639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03013052,"about_ca_topic_score_gemma":0.0314599,"domain_scores_codex":[0.9997409,0.00007285667,0.00002216722,0.00005410836,0.00005565563,0.00005432578],"domain_scores_gemma":[0.9994494,0.00009305768,0.0002718521,0.00004675407,0.00005298976,0.0000858487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001816836,0.000009731214,0.998358,0.000005537518,0.00001867494,0.00006550007,0.0004483775,0.000008806666,0.0002260736,0.00002740751,0.00002146242,0.0007924152],"study_design_scores_gemma":[0.000001437729,0.00001587474,0.9993232,0.000006835238,0.00001480636,0.0001425122,0.000328285,0.00003349855,0.00002242925,0.00002028301,0.00008986923,9.487702e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995121,0.0001135077,0.00003078095,0.00003019751,0.000001636368,0.000002853871,0.00006240837,0.000001165599,0.0002453766],"genre_scores_gemma":[0.9996902,0.0001199337,0.00005960774,0.00001074923,0.000002055378,0.000003445496,0.00006432104,0.000001244,0.00004844555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03013052,"threshold_uncertainty_score":0.0599103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00537948138499576,"score_gpt":0.2242050593188221,"score_spread":0.2188255779338264,"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."}}