{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02342096,0.001172662,0.0007334097,0.001340696,0.0004760886,0.001363243,0.001420181,0.0008322722,0.002124328],"category_scores_gemma":[0.03398849,0.0003706549,0.001364209,0.0007504302,0.0004559691,0.0005859564,0.001443146,0.001401357,0.0006763064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005257226,"about_ca_system_score_gemma":0.001843033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006497364,"about_ca_topic_score_gemma":0.007002529,"domain_scores_codex":[0.9955419,0.002912915,0.0002003278,0.0006840343,0.0004943449,0.0001665968],"domain_scores_gemma":[0.9865689,0.008211941,0.00130632,0.001715554,0.001620545,0.0005768245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007874432,0.0002576709,0.9349199,0.00006160883,0.001111796,0.00009074507,0.0001286855,0.02050922,0.0006148489,0.0004040972,0.004920168,0.03619382],"study_design_scores_gemma":[0.000650987,0.001209781,0.5216966,0.0001053074,0.0007365971,0.0004448084,0.0001745993,0.467273,0.001451579,0.002343304,0.003821322,0.00009224087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8494202,0.0004858322,0.1361792,0.0007351843,0.0001405268,0.0009273287,0.009954057,0.000875064,0.001282659],"genre_scores_gemma":[0.9264436,0.000159084,0.06376103,0.0001499301,0.00005462332,0.0005928138,0.008077124,0.00009724121,0.0006645467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02342096,"threshold_uncertainty_score":0.1238633,"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."}}