{"id":"W3126742280","doi":"10.1016/j.cjco.2021.02.001","title":"Evaluating Polygenic Risk Scores in “Lone” Atrial Fibrillation","year":2021,"lang":"en","type":"article","venue":"CJC Open","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université de Montréal; Montreal Heart Institute; Western University","funders":"Schulich School of Medicine and Dentistry; Canadian Institutes of Health Research; Canadian Cardiovascular Society; University of British Columbia; Heart and Stroke Foundation of Canada","keywords":"Confidence interval; Odds ratio; Single-nucleotide polymorphism; Percentile; Receiver operating characteristic; Medicine; SNP; Odds; Internal medicine; Genome-wide association study; Demography; Genetics; Biology; Statistics; Logistic regression; Genotype; Gene; Mathematics","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":[0.003404594,0.0006797778,0.0004669776,0.001895083,0.0002891228,0.0008590202,0.0003557096,0.0005487587,0.001330331],"category_scores_gemma":[0.01042397,0.0001369257,0.0006148173,0.001078927,0.0005491367,0.0004070111,0.000786037,0.0004670263,0.000147664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680426,"about_ca_system_score_gemma":0.0001754051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008922551,"about_ca_topic_score_gemma":0.001274627,"domain_scores_codex":[0.9982085,0.0009659741,0.0001631369,0.0003108486,0.0002308956,0.0001206837],"domain_scores_gemma":[0.9905889,0.004754747,0.003207607,0.0005037115,0.000440032,0.0005050131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002455424,0.00002104529,0.9937231,0.0000162222,0.0001811152,0.0000795067,0.00005765203,0.0004990462,0.0004632939,0.00006727495,0.00006458328,0.004581591],"study_design_scores_gemma":[0.00001679377,0.0002848328,0.9927841,0.00001198375,0.0001239744,0.0006024784,0.00007541971,0.005033284,0.0003555676,0.000525224,0.0001737667,0.00001259265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977624,0.0002808889,0.001490981,0.00004164487,0.000006589773,0.000009366304,0.0001608016,0.000009713508,0.0002376367],"genre_scores_gemma":[0.9990901,0.00004930632,0.0006583977,0.000008817555,0.00001007125,0.00000542658,0.0001402509,0.00000187055,0.00003576061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003404594,"threshold_uncertainty_score":0.01800537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04560037791349709,"score_gpt":0.3766296729123239,"score_spread":0.3310292949988268,"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."}}