{"id":"W2783014571","doi":"10.1136/bmj.j5757","title":"Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts","year":2018,"lang":"en","type":"article","venue":"BMJ","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":227,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto de Salud Carlos III; World Cancer Research Fund; Deutsche Krebshilfe; Cancerfonden; Canadian Institutes of Health Research; U.S. Department of Defense; Associazione Italiana per la Ricerca sul Cancro; Vetenskapsrådet; Swedish Cancer Foundation; Bundesministerium für Bildung und Forschung; National Institute for Health and Care Research; Francis Crick Institute; Cancer Research UK; Wellcome Trust; Medical Research Council; Breast Cancer Research Foundation; Petrus och Augusta Hedlunds Stiftelse; Stockholms Läns Landsting; Deutsches Krebsforschungszentrum; National Institutes of Health; Ovarian Cancer Research Fund; Norges Forskningsråd; Hellenic Health Foundation; Prostate Cancer Foundation; European Commission","keywords":"Prostate cancer; Scale (ratio); Hazard; Medicine; Computer science; Cancer; Oncology; Data science; Internal medicine; Biology; Cartography; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002355491,0.0001188795,0.0002172433,0.00008881499,0.00009157306,0.00002078396,0.00003006569,0.0000369516,0.00002294535],"category_scores_gemma":[0.00006259413,0.0001003489,0.00002517547,0.0001221264,0.00002468927,0.00005568379,0.00004577774,0.00003581451,0.000008271783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181233,"about_ca_system_score_gemma":0.0002286083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001126363,"about_ca_topic_score_gemma":0.001071931,"domain_scores_codex":[0.9990062,0.00001230622,0.000271602,0.0002890529,0.0001421301,0.0002787479],"domain_scores_gemma":[0.9994681,0.00001929801,0.0001132396,0.0001348035,0.0001310845,0.0001334609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004806714,0.0001018384,0.8667607,0.00009212157,0.00008411107,0.00004493532,0.003217989,0.000006485765,0.0005496865,0.00001407503,0.01343478,0.1152127],"study_design_scores_gemma":[0.004304632,0.0005881686,0.8049621,0.001811977,0.00008090097,0.00002471558,0.0002944166,0.0001530384,0.123514,0.00003015916,0.06401696,0.0002189339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917917,0.001019832,0.0004561369,0.003822238,0.0001241947,0.0025106,0.00006502093,0.00002329213,0.0001869705],"genre_scores_gemma":[0.9786538,0.0002112522,0.01659401,0.001043377,0.0002405967,0.00227613,0.000104465,0.00002499842,0.0008514123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1229643,"threshold_uncertainty_score":0.4092108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03423081766397238,"score_gpt":0.3501217180478122,"score_spread":0.3158909003838398,"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."}}