{"id":"W3013333438","doi":"10.1002/mp.14155","title":"Simultaneous trajectory generation and volumetric modulated arc therapy optimization","year":2020,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Polytechnique Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Trajectory optimization; Trajectory; Mathematical optimization; Computer science; Optimization problem; Column generation; Algorithm; Mathematics; Optimal control; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000492352,0.0005455649,0.0003615423,0.0003981263,0.0003368663,0.000492509,0.0005436417,0.0004520943,0.002625718],"category_scores_gemma":[0.001372752,0.0003953108,0.000607132,0.0005991805,0.0003946734,0.0004417822,0.0006064253,0.0005808474,0.0004837218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009835416,"about_ca_system_score_gemma":0.001453918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004529165,"about_ca_topic_score_gemma":0.004376877,"domain_scores_codex":[0.9996334,0.00008641301,0.00001265581,0.00005166313,0.0001877325,0.0000281973],"domain_scores_gemma":[0.9995776,0.0001879506,0.00006173742,0.00004854341,0.0001060015,0.00001814303],"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":[0.00007866912,0.00003958974,0.0009889608,0.00005424974,0.00003759447,0.00005694342,0.00004624754,0.9300713,0.007012221,0.004682734,0.00107852,0.05585293],"study_design_scores_gemma":[0.00001657239,0.00005109595,0.0002703507,0.000004777448,0.000008069278,0.00004663364,0.000007202588,0.9922597,0.004229909,0.001632562,0.001466842,0.0000063004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03579969,0.0001316738,0.9595263,0.0001106185,0.00002721298,0.0001153429,0.00009636988,0.0008168999,0.003375804],"genre_scores_gemma":[0.483577,0.0001143451,0.5127276,0.0000764757,0.00001771396,0.00023705,0.0003804305,0.0003602144,0.002509217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004529165,"threshold_uncertainty_score":0.009005606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642001092862741,"score_gpt":0.258704878751423,"score_spread":0.2422848678227955,"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."}}