{"id":"W2908811472","doi":"10.1002/mp.13381","title":"Robust mixed electron–photon radiation therapy optimization","year":2019,"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; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Radiation treatment planning; Dosimetry; Robust optimization; Radiation therapy; Irradiation; Photon; Computer science; Radiation; Biomedical engineering; Nuclear medicine; Physics; Mathematical optimization; Mathematics; Radiology; Optics; Medicine; Chemistry","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":[0.001364597,0.0009693515,0.0009171937,0.0005899809,0.0002562384,0.001006657,0.0008784981,0.001047316,0.002215402],"category_scores_gemma":[0.002969146,0.0006936057,0.001051561,0.0004576794,0.0007798887,0.000548279,0.000967361,0.0008449354,0.0002969025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131447,"about_ca_system_score_gemma":0.001073847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004196057,"about_ca_topic_score_gemma":0.002218382,"domain_scores_codex":[0.9993635,0.0002568971,0.00001866173,0.00009089523,0.0002022571,0.00006772034],"domain_scores_gemma":[0.9989293,0.0007428347,0.0001352127,0.00005137155,0.0001062645,0.00003506708],"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":[0.00001256341,0.000004220182,0.00007504482,0.0000133101,0.000008996061,0.00001140752,0.00000330116,0.9961396,0.0002461968,0.002048217,0.0001354291,0.001301674],"study_design_scores_gemma":[0.000004574986,0.000009553111,0.00004797771,0.000002063672,0.000002637677,0.000005222188,0.000001587172,0.9982951,0.000163382,0.001279608,0.0001857208,0.000002505354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02056281,0.0002751346,0.9719154,0.0002510544,0.00002960258,0.00008143705,0.0002282143,0.0002843547,0.006371834],"genre_scores_gemma":[0.7794286,0.0003072717,0.212801,0.0002439628,0.00003976651,0.0003746982,0.0004881156,0.00025928,0.006057288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004196057,"threshold_uncertainty_score":0.00834322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008685093294808453,"score_gpt":0.2537851272018296,"score_spread":0.2451000339070211,"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."}}