{"id":"W3005912285","doi":"10.1016/j.prro.2020.01.012","title":"Dose-Escalated Radiation Therapy for Pancreatic Cancer: A Simultaneous Integrated Boost Approach","year":2020,"lang":"en","type":"article","venue":"Practical Radiation Oncology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Sunnybrook Health Science Centre","funders":"National Center for Advancing Translational Sciences; GE Healthcare; National Cancer Institute; Sirtex Medical; Siemens Medical Solutions USA; BTG; University of Texas MD Anderson Cancer Center; Khalifa Bin Zayed Al Nahyan Foundation; Elekta; Medtronic; National Institutes of Health; Boston Scientific Corporation","keywords":"Medicine; Pancreatic cancer; Radiation therapy; Quality assurance; Medical physics; Nuclear medicine; Cancer; Radiation oncology; Radiology; Internal medicine; Pathology","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":[0.000474049,0.0007110389,0.0007945691,0.0008571698,0.0002919509,0.001520076,0.001137482,0.0005184045,0.003340196],"category_scores_gemma":[0.0005685198,0.0006408494,0.001576186,0.001091779,0.0003992669,0.00118588,0.001644579,0.001123327,0.0007748743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000728823,"about_ca_system_score_gemma":0.001171454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438237,"about_ca_topic_score_gemma":0.00328087,"domain_scores_codex":[0.9996603,0.00005930669,0.00001616306,0.0000810423,0.0001226245,0.00006057511],"domain_scores_gemma":[0.9998915,0.00002729763,0.00001777494,0.00002886742,0.00001761326,0.00001695081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003418712,0.001342328,0.006455277,0.001112934,0.001176424,0.0005064539,0.0003127001,0.06894529,0.2232683,0.008331845,0.003774238,0.6813556],"study_design_scores_gemma":[0.003683402,0.01527544,0.08495687,0.0008206957,0.008638327,0.01667032,0.0004905259,0.4715094,0.244391,0.0356717,0.1174342,0.0004581362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2351793,0.03348511,0.6772201,0.001955803,0.0005937664,0.0007774245,0.000791122,0.002713192,0.04728431],"genre_scores_gemma":[0.7466606,0.008203339,0.2371725,0.0006416289,0.0002447253,0.0002439561,0.0004480843,0.0006279676,0.005757152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003340196,"threshold_uncertainty_score":0.01117402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08092052289144969,"score_gpt":0.4304426027880612,"score_spread":0.3495220798966115,"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."}}