{"id":"W2915483278","doi":"10.1088/1361-6560/ab091c","title":"Integrating DVH criteria into a column generation algorithm for VMAT treatment planning","year":2019,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voxel; Algorithm; Computer science; Radiation treatment planning; Histogram; Robustness (evolution); Dose-volume histogram; Mathematical optimization; Mathematics; Radiation therapy; Artificial intelligence; Image (mathematics); Medicine","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":[0.0007840691,0.0006156171,0.0004477343,0.0007441439,0.0004242534,0.0007918495,0.0006816094,0.0005283424,0.003336149],"category_scores_gemma":[0.002265699,0.0004308683,0.0004956829,0.0006262229,0.0003546074,0.0004343044,0.0006139911,0.0008958469,0.00059857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007115206,"about_ca_system_score_gemma":0.001457182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005942004,"about_ca_topic_score_gemma":0.008516178,"domain_scores_codex":[0.9995568,0.0001330768,0.00002399984,0.00005263532,0.0002039128,0.00002963166],"domain_scores_gemma":[0.9991691,0.0004780168,0.00006657398,0.00007223382,0.0001918656,0.00002219807],"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":[0.0000771058,0.00005632344,0.0007645124,0.0001458836,0.00004829794,0.00006625886,0.00011348,0.6041057,0.02117942,0.008913218,0.003728903,0.360801],"study_design_scores_gemma":[0.00001167455,0.00002525017,0.0001637759,0.000005939633,0.000005585311,0.00004216531,0.000006757582,0.9905218,0.005349401,0.001491273,0.002365017,0.00001146521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002574488,0.00005019686,0.9956969,0.0000299734,0.00001175856,0.00004681897,0.00003027797,0.0009212593,0.000638366],"genre_scores_gemma":[0.07184019,0.00006340246,0.9263665,0.00006219709,0.00001429708,0.0001132879,0.0001674251,0.0006200222,0.0007526246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005942004,"threshold_uncertainty_score":0.01181483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1256971828551318,"score_gpt":0.438147957068224,"score_spread":0.3124507742130922,"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."}}