{"id":"W3092454105","doi":"10.1038/s41598-020-74172-z","title":"Prostate cancer risk prediction using a polygenic risk score","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research; Tays; Ovarian Cancer Research Fund; National Institutes of Health; Academy of Finland; Cancer Research UK; Syöpäsäätiö; Movember Foundation; Génome Québec; McGill University; Helsingin Yliopisto; Breast Cancer Research Foundation","keywords":"Quartile; Medicine; Polygenic risk score; Framingham Risk Score; Internal medicine; Single-nucleotide polymorphism; Risk assessment; Prostate cancer; Cohort; Population; Oncology; Cancer; Genotype; Confidence interval; Biology; Genetics; Gene; Environmental health; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001409578,0.000662545,0.0004655063,0.001721819,0.0003164049,0.0009918673,0.0003290068,0.0004868121,0.001432122],"category_scores_gemma":[0.004878412,0.0002027626,0.00103356,0.001249695,0.0002806749,0.000411991,0.0007625991,0.0005218544,0.0003409819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557532,"about_ca_system_score_gemma":0.0004539188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009746022,"about_ca_topic_score_gemma":0.008232204,"domain_scores_codex":[0.9990755,0.0004250659,0.00005531237,0.000194582,0.0001513792,0.00009815639],"domain_scores_gemma":[0.998725,0.0005445759,0.0003238082,0.00017146,0.0001073646,0.0001276961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002256515,0.00003149786,0.981858,0.00001787342,0.0003911819,0.0001353179,0.00004530564,0.002984546,0.0005607664,0.0001674325,0.0002783025,0.01330412],"study_design_scores_gemma":[0.00002743041,0.0002647939,0.9730883,0.00001944377,0.000324902,0.0005495219,0.00005200901,0.02384458,0.0002367898,0.001029906,0.0005319205,0.00003043012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905125,0.0007068575,0.00639429,0.0001746343,0.0000183621,0.00003559433,0.0009032123,0.00007805094,0.00117639],"genre_scores_gemma":[0.9973897,0.0001364338,0.001736103,0.00001439863,0.00001258199,0.000007154196,0.000553996,0.000003681043,0.0001458316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009746022,"threshold_uncertainty_score":0.0193786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321153676373177,"score_gpt":0.2845340003470766,"score_spread":0.2524186327097589,"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."}}