{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001613924,0.0005004262,0.0009381558,0.001006857,0.0008517482,0.001033158,0.0005910123,0.005253205,0.00262961],"category_scores_gemma":[0.01295556,0.0002665577,0.0005532259,0.0007604735,0.000616526,0.0005468036,0.000300854,0.00622167,0.001540393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005324932,"about_ca_system_score_gemma":0.0008411771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002889471,"about_ca_topic_score_gemma":0.00281578,"domain_scores_codex":[0.999077,0.0004137128,0.00009661016,0.0001244211,0.0002020523,0.00008614847],"domain_scores_gemma":[0.9949358,0.003445423,0.0002185147,0.0002289745,0.0007334715,0.0004378635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002601844,0.0009681619,0.5414451,0.0002103779,0.0007538294,0.01445302,0.0003018763,0.0008194009,0.003301318,0.005021048,0.3100376,0.1200863],"study_design_scores_gemma":[0.004291492,0.002385143,0.6119308,0.001133538,0.002574874,0.06399799,0.001489669,0.03533188,0.004982059,0.08281545,0.1887776,0.0002894739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1356856,0.00842598,0.004869664,0.8060066,0.02133099,0.0001299619,0.001316481,0.0001876584,0.02204707],"genre_scores_gemma":[0.5208752,0.003722175,0.006898168,0.3595376,0.09320561,0.0002491515,0.0008332276,0.00007251067,0.01460635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005253205,"threshold_uncertainty_score":0.00879693,"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."}}