{"id":"W3039314557","doi":"10.2174/1389202921999200630145241","title":"A Journey through Genetic Architecture and Predisposition of Coronary Artery Disease","year":2020,"lang":"en","type":"review","venue":"Current Genomics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Coronary artery disease; Genetic architecture; Genetic predisposition; Disease; Medicine; Cardiology; Architecture; Internal medicine; History; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007873801,0.0002965912,0.0007462151,0.00003639411,0.0000527366,0.00001105613,0.0001899135,0.0002276648,0.000006071888],"category_scores_gemma":[0.00007841804,0.0002673177,0.0003028492,0.00005982087,0.00009806696,0.000001407224,0.0002018707,0.0002124875,0.000005660642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003173514,"about_ca_system_score_gemma":0.000330696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.094885e-7,"about_ca_topic_score_gemma":0.000001292793,"domain_scores_codex":[0.9985587,0.0001878462,0.0005217207,0.0004530088,0.00006863058,0.0002100854],"domain_scores_gemma":[0.9990608,0.00003012383,0.0004089129,0.000310101,0.00003861311,0.0001514557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000260226,0.00006217512,0.0003803807,0.003781341,0.0002482498,0.00000565121,0.00007700513,0.00004873524,0.00005918024,0.00002150302,0.00185881,0.993431],"study_design_scores_gemma":[0.0001600901,0.0001174127,0.001213764,0.0005646608,0.0006266059,0.00005906759,0.000007542655,0.00002545332,0.000002021936,0.0003135284,0.9966596,0.0002502016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003144549,0.9918132,0.003646545,0.00006073132,0.0003025766,0.0004793822,0.0005236452,0.000005805787,0.00002355068],"genre_scores_gemma":[0.0007481941,0.9957888,0.001537422,0.00004262609,0.0005187768,0.00004806471,0.001254483,0.00003897092,0.0000227005],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9948009,"threshold_uncertainty_score":0.9999779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03781028575219911,"score_gpt":0.316906373203436,"score_spread":0.2790960874512368,"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."}}