{"id":"W4311988438","doi":"10.1016/j.eururo.2022.11.002","title":"Management of Patients with Advanced Prostate Cancer. Part I: Intermediate-/High-risk and Locally Advanced Disease, Biochemical Relapse, and Side Effects of Hormonal Treatment: Report of the Advanced Prostate Cancer Consensus Conference 2022","year":2022,"lang":"en","type":"article","venue":"European Urology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal; University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre; University of British Columbia","funders":"Medical Research Council; National Institute for Health and Care Research; Cancer Research UK","keywords":"Medicine; Prostate cancer; Prostate; Cancer; Hormonal therapy; Oncology; Disease; Internal medicine; Management of prostate cancer; Hormone; Gynecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001671796,0.0002873743,0.0005430527,0.00009240559,0.0001252786,0.000004520977,0.0001411475,0.00002672246,0.00002102383],"category_scores_gemma":[0.0000662628,0.0001876686,0.00006550011,0.000261509,0.0008919264,0.00004189734,0.0003857521,0.0002603529,2.786691e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001184579,"about_ca_system_score_gemma":0.0002670436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006143598,"about_ca_topic_score_gemma":0.00001666255,"domain_scores_codex":[0.9977266,0.0003470138,0.0005304299,0.0005969646,0.0004255111,0.0003734509],"domain_scores_gemma":[0.9983655,0.0001414547,0.0006193511,0.0004522176,0.0002320553,0.0001894768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06550206,0.001920887,0.7067725,0.002009693,0.002251911,0.003028528,0.001751287,0.001038809,0.01107234,0.0001121464,0.0002212902,0.2043186],"study_design_scores_gemma":[0.02452928,0.00763259,0.9557608,0.0004112935,0.0009265095,0.00002930261,0.0002319526,0.00005974586,0.007194747,0.00007826427,0.002883562,0.0002618888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865326,0.009424643,0.000003042151,0.0005128125,0.0001951883,0.002317965,0.0007702451,0.00002034243,0.0002231202],"genre_scores_gemma":[0.9884845,0.009838223,0.0001193135,0.00005702569,0.00001398781,0.0004594113,0.0001674195,0.00004811373,0.0008119883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2489884,"threshold_uncertainty_score":0.7652903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005719139442093395,"score_gpt":0.241095301857213,"score_spread":0.2353761624151196,"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."}}