{"id":"W4398220759","doi":"10.1016/j.eururo.2024.04.038","title":"Refining Risk Stratification of High-risk and Locoregional Prostate Cancer: A Pooled Analysis of Randomized Trials","year":2024,"lang":"en","type":"article","venue":"European Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Cilag; Prostate Cancer Foundation; Janssen Pharmaceuticals; Daiichi Sankyo Europe; National Cancer Institute; Medical Research Council; Genentech; European Society for Medical Oncology; Astellas Pharma; Eisai; Ipsen; European School of Oncology; MacroGenics; Advanced Accelerator Applications; Clovis Oncology; Amgen; Schweizerische Arbeitsgemeinschaft für Klinische Krebsforschung; Sanofi; Exelixis; Bristol-Myers Squibb; Eli Lilly and Company; American Society of Clinical Oncology; AstraZeneca; Takeda Oncology; Pfizer","keywords":"Medicine; Prostate cancer; Risk stratification; Randomized controlled trial; Oncology; Pooled analysis; Prostate; Risk assessment; Internal medicine; Meta-analysis; Cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02911256,0.003660192,0.01590182,0.002301995,0.0005025103,0.003628484,0.001711319,0.003135445,0.00331531],"category_scores_gemma":[0.04405216,0.001522046,0.03024369,0.002199025,0.001074012,0.003041494,0.002111328,0.003456513,0.0003786634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091602,"about_ca_system_score_gemma":0.001237891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956663,"about_ca_topic_score_gemma":0.004082054,"domain_scores_codex":[0.9673975,0.02374108,0.003860446,0.002900637,0.001405076,0.0006953386],"domain_scores_gemma":[0.970439,0.02161636,0.00417257,0.002287164,0.0009573614,0.000527505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.1231059,0.0001086658,0.01208953,0.01880083,0.8289363,0.00007176951,0.0000762918,0.001551401,0.000527204,0.0002228169,0.0006414713,0.01386794],"study_design_scores_gemma":[0.06610882,0.00270955,0.01441997,0.001625558,0.9105635,0.00009358149,0.00008562733,0.0013406,0.0002444113,0.001410341,0.001318784,0.00007926139],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2662992,0.7101668,0.01266867,0.001236587,0.001600696,0.00230867,0.002578942,0.0002937943,0.002846726],"genre_scores_gemma":[0.9329884,0.05125801,0.008615057,0.001558633,0.0007601909,0.001280042,0.002552357,0.0001161038,0.0008711127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02911256,"threshold_uncertainty_score":0.1539638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02847983790675777,"score_gpt":0.308542899028738,"score_spread":0.2800630611219803,"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."}}