{"id":"W3158642070","doi":"10.1016/j.ijrobp.2021.04.013","title":"Optimizing Treatment in Intermediate-Risk Prostate Cancer: Secondary Analysis of a Randomized Phase 3 Trial","year":2021,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de Rimouski; Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Hospitalier de l’Université de Montréal; Hôpital Maisonneuve-Rosemont; Nova Scotia Cancer Centre; Centre hospitalier universitaire de Québec; McGill University Health Centre; Centre Hospitalier Universitaire de Sherbrooke","funders":"Astellas Pharma Canada; Sanofi; AstraZeneca; Bayer; Janssen Canada; AstraZeneca Canada","keywords":"Medicine; Prostate cancer; Interquartile range; Hazard ratio; Androgen deprivation therapy; Radiation therapy; Cumulative incidence; Prostate; Randomized controlled trial; Cancer; Internal medicine; Oncology; Confidence interval; Cohort; Urology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003207414,0.002134551,0.003629188,0.0004192667,0.000510507,0.001257373,0.0009176405,0.001196038,0.00698221],"category_scores_gemma":[0.003356851,0.0005385908,0.004091517,0.0005740501,0.00104371,0.001252092,0.0005674141,0.0038197,0.0007005288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025341,"about_ca_system_score_gemma":0.001490749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401671,"about_ca_topic_score_gemma":0.002677567,"domain_scores_codex":[0.9980501,0.001324697,0.00006703978,0.0002543147,0.00008189699,0.0002220324],"domain_scores_gemma":[0.9974462,0.001050072,0.0006410097,0.0002776163,0.0001043153,0.0004808203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.9790108,0.00355486,0.001339466,0.0003220128,0.002862555,0.0000185943,0.00003970353,0.00112343,0.0008983238,0.0001028873,0.0008095948,0.00991777],"study_design_scores_gemma":[0.9393354,0.05073126,0.004914089,0.00003988137,0.002426177,0.00003332931,0.00002853911,0.00121537,0.0002999801,0.0005194925,0.000432948,0.00002346798],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885766,0.003844091,0.001261467,0.0007364581,0.0002883364,0.001874777,0.001172904,0.0001433725,0.002101961],"genre_scores_gemma":[0.9929798,0.0008882937,0.00147833,0.0007169411,0.0002339074,0.001582189,0.001048956,0.00004073789,0.001030878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00698221,"threshold_uncertainty_score":0.02335781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069678456061945,"score_gpt":0.3640783814782185,"score_spread":0.343381596917599,"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."}}