{"id":"W2801312275","doi":"10.1016/j.cell.2018.03.029","title":"The Evolutionary Landscape of Localized Prostate Cancers Drives Clinical Aggression","year":2018,"lang":"en","type":"article","venue":"Cell","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":271,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute; Toronto General Hospital; University of Toronto; University Health Network; Princess Margaret Cancer Centre; Occupational Cancer Research Centre; Ontario Institute for Cancer Research","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society; Prostate Cancer Canada; Canada First Research Excellence Fund; Government of Ontario; Compute Canada; Canadian Institutes of Health Research; Genome Canada; Government of Canada; Ontario Institute for Cancer Research; Terry Fox Research Institute; Movember Foundation","keywords":"Biology; Prostate cancer; Prostate; Cancer research; Point mutation; Cancer; Oncology; Gene; Mutation; Internal medicine; Genetics; Medicine","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":[0.0005783866,0.0001592165,0.0003545288,0.0006401776,0.00103844,0.002158026,0.0005664736,0.0006942476,0.009030063],"category_scores_gemma":[0.002287749,0.0001456431,0.000153809,0.0006834369,0.001183804,0.0008218791,0.001250427,0.001231865,0.0008025301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008301222,"about_ca_system_score_gemma":0.001056361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001308567,"about_ca_topic_score_gemma":0.003107448,"domain_scores_codex":[0.9992869,0.0002119001,0.00001504178,0.0001328362,0.0001433814,0.0002098919],"domain_scores_gemma":[0.9992229,0.0002161784,0.0001688308,0.00005968646,0.0001195505,0.000212921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007635645,0.0004403892,0.4800406,0.0004038907,0.0003294116,0.003939498,0.00599497,0.005246133,0.07747897,0.1379178,0.01773557,0.2697093],"study_design_scores_gemma":[0.00009083167,0.001282628,0.7174621,0.0003240002,0.0001889961,0.01213935,0.01833806,0.008703349,0.01286707,0.08094633,0.1475113,0.0001459689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401426,0.006455709,0.003214965,0.008902974,0.0001244257,0.00003831551,0.0003287385,0.000063233,0.04072909],"genre_scores_gemma":[0.9933283,0.001794695,0.0005133289,0.000632422,0.00008348277,0.0000135885,0.0001504654,0.00002710728,0.003456463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009030063,"threshold_uncertainty_score":0.03020859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852450337750852,"score_gpt":0.3633687391240666,"score_spread":0.3348442357465581,"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."}}