{"id":"W3082596999","doi":"10.1016/j.ijrobp.2020.08.034","title":"NRG Oncology Updated International Consensus Atlas on Pelvic Lymph Node Volumes for Intact and Postoperative Prostate Cancer","year":2020,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; Advanced Accelerator Applications; Janssen Scientific Affairs; National Institute for Health and Care Research; National Institutes of Health; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Royal Marsden NHS Foundation Trust; Astellas Pharma; Elekta; Ipsen; RefleXion Medical; Varian Medical Systems; Cancer Research UK; Boston Scientific Corporation; Bayer HealthCare; Sanofi","keywords":"Medicine; Prostate cancer; Lymph node; Consensus conference; Atlas (anatomy); Oncology; General surgery; Medical physics; Internal medicine; Cancer; Anatomy","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":[0.005136187,0.0009197886,0.001046467,0.01402904,0.0007956075,0.001847286,0.002536508,0.001070221,0.01250948],"category_scores_gemma":[0.01095841,0.0004020998,0.001787599,0.01026943,0.0007864715,0.001415311,0.001873148,0.001692967,0.005044222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004727413,"about_ca_system_score_gemma":0.01080299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02266752,"about_ca_topic_score_gemma":0.02492841,"domain_scores_codex":[0.9964964,0.0009074166,0.0007485684,0.000288513,0.001353901,0.000205277],"domain_scores_gemma":[0.9923843,0.0009524121,0.0009853547,0.0004798542,0.00492287,0.0002752868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002773089,0.00005071536,0.01652554,0.005624813,0.0002211561,0.0003756529,0.001006189,0.005055204,0.002037673,0.01237706,0.6285729,0.3278758],"study_design_scores_gemma":[0.00007677098,0.00009865941,0.02923514,0.002546255,0.0002149509,0.001599582,0.0006453661,0.001922437,0.001160585,0.006878869,0.9555453,0.00007601135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04549509,0.1454981,0.237577,0.03359282,0.01001854,0.006154618,0.2835311,0.01083099,0.2273018],"genre_scores_gemma":[0.1797118,0.06024703,0.4403338,0.006002724,0.001594155,0.008279888,0.2517382,0.003081295,0.0490112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02266752,"threshold_uncertainty_score":0.04507118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674769905426917,"score_gpt":0.3506818034974064,"score_spread":0.3239341044431372,"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."}}