{"id":"W4300856923","doi":"10.17615/g03w-1e47","title":"Genetic Variants Influencing Circulating Lipid Levels and Risk of Coronary Artery Disease","year":2020,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases; Medical Research Council; National Science Foundation; Canadian Institutes of Health Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; British Heart Foundation; National Human Genome Research Institute; Wellcome Trust; European Commission; Sanofi; AstraZeneca; GlaxoSmithKline; Juvenile Diabetes Research Foundation International; Pfizer","keywords":"Coronary artery disease; Disease; Internal medicine; Medicine; Biology; Genetics; Cardiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0006331327,0.0005364272,0.0004124101,0.0007998325,0.0004659309,0.0006484582,0.000344667,0.0005605868,0.00274335],"category_scores_gemma":[0.001917899,0.0001811899,0.0003292032,0.001295657,0.0003514163,0.0001876925,0.0003221658,0.0004931542,0.0002870054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001956529,"about_ca_system_score_gemma":0.0003319837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004224479,"about_ca_topic_score_gemma":0.005453261,"domain_scores_codex":[0.9994917,0.0001773731,0.00005028923,0.0001408005,0.00006428644,0.00007552555],"domain_scores_gemma":[0.9992352,0.0003928353,0.000156306,0.00006267632,0.0000593309,0.00009373489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003627622,0.0002843321,0.9013761,0.0001565652,0.0009979098,0.001959278,0.0003162168,0.0009619537,0.06573313,0.001142517,0.000570495,0.02287385],"study_design_scores_gemma":[0.0001288384,0.0004257757,0.9875542,0.00003591662,0.0007326746,0.00158031,0.0001366312,0.001568745,0.005354509,0.001146463,0.001309563,0.00002636617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947506,0.001204059,0.001817654,0.0002374346,0.00003341301,0.00001498003,0.0007905959,0.00003897115,0.001112291],"genre_scores_gemma":[0.9972018,0.0003609103,0.001527645,0.00006059926,0.00003285744,0.00001102572,0.0003408889,0.00001457188,0.0004497964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004224479,"threshold_uncertainty_score":0.009177446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578644591566981,"score_gpt":0.2069045700840329,"score_spread":0.1911181241683631,"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."}}