{"id":"W3126648120","doi":"10.1161/circgen.120.003182","title":"Genetic Predictor to Identify Individuals With High Lipoprotein(a) Concentrations","year":2021,"lang":"en","type":"letter","venue":"Circulation Genomic and Precision Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Human Genome Research Institute; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Medicine; Gerontology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004290793,0.000339927,0.0005313472,0.0001441247,0.0001890821,0.00004142775,0.000216231,0.0007952619,0.0002982038],"category_scores_gemma":[0.0004105395,0.000285827,0.00006528825,0.0001708941,0.000146811,0.000004017807,0.0001335963,0.0003987535,0.00002243957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000503688,"about_ca_system_score_gemma":0.0001972343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008417258,"about_ca_topic_score_gemma":0.00002368541,"domain_scores_codex":[0.9975091,0.0003128863,0.0006233864,0.0008439831,0.0003491705,0.0003614463],"domain_scores_gemma":[0.998489,0.00012819,0.000334441,0.0006070965,0.0002716839,0.0001695502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002966167,0.00001983346,0.06694344,0.00006934726,0.0003455365,0.00002876513,0.0002845916,0.001352408,0.02556119,0.00001895898,0.898576,0.006770245],"study_design_scores_gemma":[0.000759885,0.0002910386,0.5905868,0.0001210688,0.0001661873,0.00006171134,0.00005186067,0.00004790127,0.00007373434,0.0003415366,0.407192,0.0003062752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7992141,0.004393901,0.03633676,0.1575123,0.0007522976,0.001245466,0.0001941254,0.0000257715,0.0003251983],"genre_scores_gemma":[0.7215742,0.001289899,0.01107109,0.2467262,0.009724999,0.0002552682,0.006655688,0.0001213027,0.00258132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5236434,"threshold_uncertainty_score":0.9999594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894179912960421,"score_gpt":0.2766118729629619,"score_spread":0.2576700738333577,"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."}}