{"id":"W2130740469","doi":"10.1161/circgenetics.110.946269","title":"Improved Prediction of Cardiovascular Disease Based on a Panel of Single Nucleotide Polymorphisms Identified Through Genome-Wide Association Studies","year":2010,"lang":"en","type":"article","venue":"Circulation Cardiovascular Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; Canadian Institutes of Health Research; Georgia Clinical and Translational Science Alliance; National Institutes of Health; Case Western Reserve University; Cleveland Clinic; Wellcome Trust; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Heart and Stroke Foundation of Canada","keywords":"Single-nucleotide polymorphism; Genome-wide association study; Logistic regression; Biology; Allele; Medicine; Internal medicine; Genetics; Genotype; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001446505,0.0002949308,0.0007306955,0.0001232762,0.0001288558,0.00001620592,0.0002332581,0.0003726203,0.00001231991],"category_scores_gemma":[0.00207758,0.0003197722,0.001607887,0.0002668097,0.0001515607,0.00001099776,0.00008894513,0.000169401,0.000004252185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025401,"about_ca_system_score_gemma":0.0001449245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004536705,"about_ca_topic_score_gemma":0.000006789021,"domain_scores_codex":[0.9971192,0.0003897662,0.0007910961,0.0006639445,0.0006734258,0.0003625848],"domain_scores_gemma":[0.9968327,0.0001779026,0.0005015395,0.001528807,0.0008410131,0.0001180916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000945867,0.0003480226,0.2801889,0.0001526531,0.01226413,0.000003626556,0.0002434299,0.4258095,0.2777774,0.00002488281,0.0003091888,0.002783769],"study_design_scores_gemma":[0.002015197,0.0002985018,0.9431834,0.00003591527,0.002768489,0.000002829926,0.0001798487,0.007977189,0.02926721,0.0002899084,0.01349526,0.0004862879],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468725,0.0113269,0.03955654,0.000096574,0.00111831,0.0006473446,0.0001823868,0.00002612607,0.0001733693],"genre_scores_gemma":[0.9960096,0.0007680916,0.002039885,0.0001324092,0.0004501199,0.00006828108,0.0004177652,0.0000552997,0.00005858977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6629945,"threshold_uncertainty_score":0.9999254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313190479931208,"score_gpt":0.2417144093620371,"score_spread":0.2103953613689163,"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."}}