{"id":"W4387341485","doi":"10.5489/cuaj.8588","title":"2023 Canadian Urological Association guideline: Genetic testing in prostate cancer","year":2023,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Queen Elizabeth II Health Sciences Centre; Université de Montréal; University of Alberta; McGill University; University of British Columbia; University of Toronto; Dalhousie University","funders":"EMD Serono; Bavarian Nordic; Ipsen; Astellas Pharma; Eisai; UroGen Pharma; Seagen; Advanced Accelerator Applications; F. Hoffmann-La Roche; Incyte; Boston Scientific Corporation; Daiichi Sankyo Europe; Sanofi; Bristol-Myers Squibb; AstraZeneca; Amgen; Pfizer","keywords":"Guideline; Prostate cancer; Medicine; Association (psychology); Oncology; Internal medicine; Cancer; Pathology; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01567573,0.001689677,0.002666136,0.006625999,0.004076513,0.003906246,0.007735839,0.02842809,0.01464812],"category_scores_gemma":[0.05612474,0.001572504,0.003844216,0.006962948,0.003489695,0.00186824,0.003037242,0.01742879,0.008020165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02124712,"about_ca_system_score_gemma":0.1122691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.750015,"about_ca_topic_score_gemma":0.8595207,"domain_scores_codex":[0.9783638,0.004134423,0.003717833,0.00117111,0.01009106,0.002521824],"domain_scores_gemma":[0.9217956,0.01359443,0.003338547,0.001143514,0.05140188,0.008726078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002634202,0.00003463882,0.0008092257,0.0003676831,0.00003753183,0.0001530425,0.00004942536,0.0001978782,0.0001472348,0.00122421,0.9784563,0.01849643],"study_design_scores_gemma":[0.0002022988,0.00005607642,0.01518292,0.006114766,0.0002695712,0.000841057,0.0001743213,0.0003996935,0.0002884518,0.003689508,0.9726347,0.0001466483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001578068,0.07319219,0.006977542,0.7274716,0.03908595,0.001380583,0.02354177,0.001145599,0.1256268],"genre_scores_gemma":[0.0168311,0.07642047,0.02897135,0.7571654,0.02325889,0.001449979,0.0294903,0.000564839,0.06584762],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.750015,"threshold_uncertainty_score":0.5029144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815898514589541,"score_gpt":0.3103175746815865,"score_spread":0.2721585895356912,"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."}}