{"id":"W4387337958","doi":"10.1016/j.cjca.2023.06.365","title":"THE CLINICAL UTILITY AND ANCESTRAL DIVERSITY OF POLYGENIC RISK SCORES IN CARDIOMETABOLIC DISEASE RISK PREDICTION","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Genome-wide association study; Disease; Population stratification; Single-nucleotide polymorphism; Population; Genetic association; Trait; Polygenic risk score; Internal medicine; Genetics; Environmental health; Genotype; Biology","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":[0.01317343,0.000896962,0.0008459598,0.002508178,0.0009266483,0.002820033,0.001047526,0.001374378,0.002660795],"category_scores_gemma":[0.0478366,0.0004725131,0.000884113,0.002457107,0.001776184,0.001648744,0.001920465,0.002140913,0.0003410252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003964922,"about_ca_system_score_gemma":0.0006033594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004508341,"about_ca_topic_score_gemma":0.003924085,"domain_scores_codex":[0.9902437,0.007273334,0.0004204692,0.001052985,0.0006818172,0.0003276599],"domain_scores_gemma":[0.9646707,0.02628751,0.002257416,0.004199985,0.001580336,0.001004223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003804665,0.00003827536,0.9835719,0.00001861069,0.0007552318,0.0002243809,0.0002892591,0.001540333,0.0006704333,0.001206048,0.0001496867,0.01115526],"study_design_scores_gemma":[0.00008580802,0.0003816093,0.9549619,0.00007224381,0.0006962076,0.001577711,0.0006172847,0.02747974,0.0004605291,0.01268224,0.0009124522,0.00007226938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883204,0.001117542,0.0073937,0.0006982848,0.00004389301,0.00001503992,0.0004366432,0.00002091991,0.001953665],"genre_scores_gemma":[0.99778,0.0001739908,0.001659992,0.00004762959,0.00004962655,0.000004334277,0.0001421381,0.00001075442,0.0001315219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01317343,"threshold_uncertainty_score":0.06966859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773271062708327,"score_gpt":0.2848479255233428,"score_spread":0.2571152148962595,"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."}}