{"id":"W4387206840","doi":"10.1016/j.ijrobp.2023.06.1620","title":"Multi-Institutional Analysis of Metastasis Directed Therapy with or without Androgen Deprivation Therapy in Oligometastatic Castration Sensitive Prostate Cancer","year":2023,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"School of Medicine, Duke University; European Society for Medical Oncology; Astellas Pharma; Genentech; Janssen Scientific Affairs; Ipsen; Varian Medical Systems; RefleXion Medical; NRG Oncology; International Association for the Study of Lung Cancer; Schweizerische Arbeitsgemeinschaft für Klinische Krebsforschung; Bayer HealthCare; ViewRay; U.S. Department of Defense; Sanofi; Amgen; Pfizer; AstraZeneca; Eli Lilly and Company","keywords":"Medicine; Androgen deprivation therapy; Prostate cancer; Proportional hazards model; Internal medicine; Oncology; Univariate analysis; Cohort; Retrospective cohort study; Cancer; Metastasis; Urology; Multivariate analysis","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":[0.0009201023,0.0002231902,0.0004690936,0.0005448192,0.0003739359,0.0007640102,0.000460205,0.0003158398,0.0008912596],"category_scores_gemma":[0.002114976,0.0001491653,0.0008767166,0.001011879,0.0003338652,0.0003645775,0.000640825,0.0003813408,0.00007879745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000956797,"about_ca_system_score_gemma":0.0008617735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005580325,"about_ca_topic_score_gemma":0.01231328,"domain_scores_codex":[0.9990521,0.0004477852,0.00007191565,0.0001529953,0.0001219977,0.0001532699],"domain_scores_gemma":[0.9983198,0.0005210075,0.0006122367,0.0001555075,0.000111561,0.0002799736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0158621,0.0005242786,0.9656885,0.00008692094,0.001075319,0.0001625955,0.0001459127,0.00119286,0.003003946,0.00008404107,0.0002645889,0.01190898],"study_design_scores_gemma":[0.0001040083,0.001529277,0.9966729,0.00000600003,0.0002812635,0.0001302962,0.0002028881,0.0004526743,0.0003259423,0.0000365166,0.0002477426,0.00001050333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992524,0.0002804662,0.00007357441,0.00001925414,0.0000045272,0.000009694282,0.0001928432,0.000002524115,0.0001645825],"genre_scores_gemma":[0.9995978,0.00004928769,0.00004217127,0.00001541412,0.000005444027,0.000005499743,0.0002312511,0.000001746804,0.00005120249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005580325,"threshold_uncertainty_score":0.0110957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0603537243351084,"score_gpt":0.4001629940599569,"score_spread":0.3398092697248485,"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."}}