{"id":"W2773518236","doi":"10.1016/j.rcl.2017.10.012","title":"Role of Prostate MR Imaging in Radiation Oncology","year":2017,"lang":"en","type":"review","venue":"Radiologic Clinics of North America","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Prostate cancer; Medical physics; Radiation therapy; Radiation oncology; Workflow; Radiation treatment planning; Magnetic resonance imaging; Prostate; Radiology; Medical imaging; Image-guided radiation therapy; Cancer; Internal medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003569471,0.0003379605,0.003633601,0.0002496243,0.00003321245,0.000005020058,0.0002610508,0.0001823402,0.00002222925],"category_scores_gemma":[0.000585683,0.000247811,0.0005875461,0.0001968788,0.0003589759,0.00004579865,0.00008459954,0.0003878359,0.00001384436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003535952,"about_ca_system_score_gemma":0.001094065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001241157,"about_ca_topic_score_gemma":0.00002184308,"domain_scores_codex":[0.997378,0.0002000028,0.001480236,0.0004787418,0.0001529939,0.0003100274],"domain_scores_gemma":[0.9955747,0.0006776902,0.002813942,0.0007172097,0.0001050577,0.0001113767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005803653,0.0003708558,0.09312095,0.002243397,0.0001638866,0.00006953564,0.00006584977,0.000006112263,9.827092e-8,0.000003533541,0.0001632078,0.9037345],"study_design_scores_gemma":[0.0009918067,0.001442693,0.01590228,0.003458901,0.0008342204,0.0000374643,0.00002011269,0.00002937827,7.341666e-7,0.00004745245,0.9770531,0.0001818599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001765217,0.9953045,0.000001699636,0.0001014436,0.0001792291,0.001514367,0.0002629342,0.00001643928,0.0008541885],"genre_scores_gemma":[0.003151892,0.9951358,0.0004414565,0.00008212333,0.000103737,0.0002599524,0.0007621861,0.0000299357,0.00003284324],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9768899,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06952530726678355,"score_gpt":0.4219824495953926,"score_spread":0.352457142328609,"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."}}