{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005706014,0.0002419941,0.0008826799,0.0001259626,0.0001653116,0.00003186987,0.0001088123,0.0004846814,0.0006601306],"category_scores_gemma":[0.008140555,0.0001982701,0.0001382978,0.0005164273,0.0001718292,0.0001646715,0.00002475683,0.0006150871,0.0001129068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006692914,"about_ca_system_score_gemma":0.001875205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001200329,"about_ca_topic_score_gemma":0.000006423186,"domain_scores_codex":[0.9976261,0.0004198897,0.0005847504,0.0005251101,0.0003283171,0.0005157996],"domain_scores_gemma":[0.9953775,0.003301268,0.0002772783,0.0002076072,0.000365396,0.0004708836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02662059,0.002864034,0.05825195,0.0003103461,0.001593675,0.0002164554,0.003024596,0.0004794286,0.007579923,0.00247163,0.03621888,0.8603685],"study_design_scores_gemma":[0.01198354,0.005779872,0.0151282,0.00001652449,0.0005704011,0.0001218705,0.0003492615,0.5913737,0.0003927713,0.0001336308,0.3738976,0.0002527071],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6662081,0.004112191,0.07989939,0.2182389,0.0005898693,0.01048965,0.0001653846,0.0006749836,0.0196215],"genre_scores_gemma":[0.9658675,0.004602457,0.01613451,0.01041649,0.000825382,0.00103308,0.0005526521,0.00005784797,0.0005101088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8601158,"threshold_uncertainty_score":0.9745593,"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."}}