{"id":"W2139645473","doi":"10.3945/ajcn.111.022657","title":"Dietary patterns and ethnicity are associated with distinct plasma proteomic groups","year":2011,"lang":"en","type":"article","venue":"American Journal of Clinical Nutrition","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ethnic group; Principal component analysis; Population; Biology; Ethnically diverse; Disease; Blood proteins; Nutrigenomics; Internal medicine; Medicine; Endocrinology; Genetics; Environmental health","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":[0.0003730852,0.0001349716,0.0003644566,0.00003946012,0.00005376605,0.00001266323,0.0001205542,0.00009141544,0.00001157238],"category_scores_gemma":[0.0003745148,0.0001106183,0.0001615156,0.00006770614,0.0004027013,0.000009852982,0.00003367255,0.0002022474,7.882831e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009149582,"about_ca_system_score_gemma":0.00005099882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002063335,"about_ca_topic_score_gemma":0.00006179904,"domain_scores_codex":[0.9985984,0.0002655576,0.0005876209,0.0002206048,0.0001623641,0.0001654305],"domain_scores_gemma":[0.9984744,0.00005891881,0.0008092623,0.0001488397,0.0002535852,0.0002550397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00530808,0.002420546,0.9740932,0.00005767341,0.000254448,0.00006827778,0.00006296251,9.456127e-7,0.003576174,0.000003040202,0.0006768188,0.01347786],"study_design_scores_gemma":[0.003576067,0.006140001,0.9853664,0.0002306873,0.0001282199,0.00005770229,0.0003102728,0.00001119765,0.003517604,0.0003178933,0.0001566562,0.0001872657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998823,0.0001877167,0.0004617307,0.0001704895,0.00009301564,0.0001521156,0.00006527617,0.000005895351,0.0000407595],"genre_scores_gemma":[0.9968092,0.001138486,0.001242931,0.0002598044,0.0004666687,0.000008726087,0.00004915523,0.0000174013,0.000007630626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0132906,"threshold_uncertainty_score":0.4510883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03807003512465787,"score_gpt":0.3042835062509827,"score_spread":0.2662134711263249,"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."}}