{"id":"W4405193142","doi":"10.3390/genes15121581","title":"Polygenic Risk Score Implementation into Clinical Practice for Primary Prevention of Cardiometabolic Disease","year":2024,"lang":"en","type":"review","venue":"Genes","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Framingham Risk Score; Disease; Medicine; Intervention (counseling); Harm; Precision medicine; Population; Risk assessment; Psychology; Environmental health; Computer science; Nursing; Internal medicine; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1095105,0.0005229723,0.001804892,0.007724325,0.00101212,0.004965384,0.002498669,0.002549218,0.008637447],"category_scores_gemma":[0.3074902,0.0005685716,0.002949022,0.009808386,0.001279978,0.003963016,0.005771697,0.002601448,0.001024938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003877691,"about_ca_system_score_gemma":0.02863538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007801773,"about_ca_topic_score_gemma":0.01739303,"domain_scores_codex":[0.8813969,0.08743045,0.01736205,0.003103209,0.009515496,0.001191794],"domain_scores_gemma":[0.6296144,0.3234605,0.02150522,0.006523372,0.01624342,0.002653081],"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":[0.00048254,0.0002127955,0.02041663,0.1447579,0.00156193,0.0006946131,0.01120696,0.0009032998,0.0006772875,0.01089551,0.01913934,0.7890513],"study_design_scores_gemma":[0.001655092,0.001838539,0.06985741,0.5967552,0.007065689,0.002663292,0.02110583,0.005555045,0.001253402,0.02950691,0.2623038,0.0004398864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1212693,0.4534025,0.1049526,0.2110953,0.003192416,0.02607791,0.01196112,0.001721015,0.06632797],"genre_scores_gemma":[0.4470158,0.1719759,0.3366385,0.02357233,0.0007701049,0.01516787,0.003375134,0.0002167081,0.001267587],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1095105,"threshold_uncertainty_score":0.5791537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06482627559819171,"score_gpt":0.4708415705716325,"score_spread":0.4060152949734408,"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."}}