{"id":"W3211347572","doi":"10.1287/ijoc.2022.1167","title":"Robust Direct Aperture Optimization for Radiation Therapy Treatment Planning","year":2022,"lang":"en","type":"article","venue":"INFORMS journal on computing","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Heuristic; Mathematical optimization; Robust optimization; Process (computing); Integer programming; Radiation treatment planning; Artificial intelligence; Radiation therapy; Algorithm; Mathematics; Medicine; Surgery","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":[0.0001852374,0.0001311141,0.0001484326,0.0001037013,0.000781525,0.00008360497,0.0001080417,0.00001670491,0.0001602941],"category_scores_gemma":[0.00000502374,0.0001014393,0.0001155563,0.000103805,0.000006689491,0.0001773559,0.00001391361,0.0001842369,2.597073e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002490881,"about_ca_system_score_gemma":0.00004560422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000376133,"about_ca_topic_score_gemma":1.378978e-8,"domain_scores_codex":[0.9993064,0.00002370359,0.0002386589,0.0001036616,0.0001409399,0.0001865753],"domain_scores_gemma":[0.9993741,0.00016741,0.000297,0.00008235434,0.00003642748,0.00004272244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005788233,0.0000408749,0.001793778,6.269543e-7,0.00005265964,7.289653e-7,0.0004574471,0.7356284,0.00003489917,0.0002356239,0.0002192876,0.2614777],"study_design_scores_gemma":[0.001899262,0.001217276,0.0001580026,0.00002287108,0.000007113826,0.00001764328,0.0002218823,0.8168023,0.0007301102,0.0002429295,0.1784517,0.0002288222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01858452,0.000219344,0.9787219,0.0001323719,0.0002578895,0.0003295146,0.00001562403,0.00007728556,0.001661606],"genre_scores_gemma":[0.850384,0.00006513346,0.1466384,0.0008966005,0.001539373,0.00007715204,0.0001430975,0.00006290828,0.0001933188],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8320834,"threshold_uncertainty_score":0.6010937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650080671221449,"score_gpt":0.2925347892380276,"score_spread":0.2660339825258131,"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."}}