{"id":"W4400588480","doi":"10.1038/s43018-024-00787-0","title":"Tumor evolution metrics predict recurrence beyond 10 years in locally advanced prostate cancer","year":2024,"lang":"en","type":"article","venue":"Nature Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; St. George's, University of London; Medical Research Council; Associazione Italiana per la Ricerca sul Cancro; Cancer Research Institute; Royal Marsden NHS Foundation Trust; Department of Health and Social Care; Cancer Research UK; Canada's Michael Smith Genome Sciences Centre; National Institute for Health and Care Research; Directorate for Biological Sciences; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Orta Doğu Teknik Üniversitesi; Wellcome Trust","keywords":"Prostate cancer; Hazard ratio; Internal medicine; Oncology; Medicine; Confidence interval; Histopathology; Prostate; Clinical trial; Biochemical recurrence; Cancer; Pathology; Prostatectomy","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":[0.0006378769,0.0001883998,0.0002739209,0.0005183062,0.0001379183,0.0003841998,0.0001735365,0.0002411822,0.000580496],"category_scores_gemma":[0.00206266,0.0001123074,0.0002399739,0.0004452666,0.0002253811,0.0002784995,0.0003621047,0.0003968893,0.00009331449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002615068,"about_ca_system_score_gemma":0.0001406206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177585,"about_ca_topic_score_gemma":0.002135457,"domain_scores_codex":[0.9997595,0.00009616736,0.00001607547,0.00005349866,0.00004326744,0.00003145978],"domain_scores_gemma":[0.9986795,0.0004675527,0.0005412124,0.00009538611,0.00007528382,0.0001411142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006396279,0.00004828413,0.9698309,0.00003065405,0.0001412828,0.00005559558,0.00007405251,0.002673067,0.005292678,0.00006654079,0.0001639546,0.02098327],"study_design_scores_gemma":[0.00001272329,0.0004930907,0.9892465,0.000006940832,0.00008530317,0.0002802467,0.00008474264,0.007305495,0.001828096,0.0003566346,0.0002887495,0.00001127866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987152,0.0005056414,0.0004950889,0.00003309311,0.000002076401,0.000003806022,0.00009061762,0.00001247053,0.0001420401],"genre_scores_gemma":[0.9996712,0.0000418672,0.0001304078,0.000007276247,0.000001994747,0.000002010871,0.00008753178,0.000001608797,0.00005604834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001177585,"threshold_uncertainty_score":0.003373444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003519574898260935,"score_gpt":0.2646021724613133,"score_spread":0.2610825975630524,"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."}}