{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001359549,0.0002514617,0.0009462151,0.0001024683,0.00006612302,0.00001389562,0.0001868485,0.0003318247,0.000005111337],"category_scores_gemma":[0.0007400297,0.0002114444,0.001173415,0.0001534183,0.00005360043,0.000003725198,0.0001643698,0.0001196914,0.0000130717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003202453,"about_ca_system_score_gemma":0.0007708835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003603707,"about_ca_topic_score_gemma":0.00002542936,"domain_scores_codex":[0.9974513,0.0006457653,0.00103818,0.0005373118,0.0001133019,0.00021412],"domain_scores_gemma":[0.9982683,0.0001439972,0.0008932826,0.0004357987,0.0001655606,0.00009307689],"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":[0.00002286584,0.00005272085,0.0007656564,0.003409281,0.001027752,4.531599e-7,0.000006986691,0.000002332245,0.00001604436,0.00002797425,0.002924034,0.9917439],"study_design_scores_gemma":[0.0001967568,0.0002213234,0.001555719,0.0002274254,0.006776472,0.000004221303,0.0000360362,0.000001785899,0.00000421505,0.00027066,0.9905079,0.0001975096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002067029,0.9931877,0.002375462,0.00003954049,0.0006943746,0.001064747,0.0005262194,0.000009124563,0.00003575184],"genre_scores_gemma":[0.0001682871,0.9876472,0.006720127,0.00004371125,0.001071636,0.0004133396,0.003576824,0.00004825671,0.0003106342],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9915464,"threshold_uncertainty_score":0.8622453,"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."}}