{"id":"W2251479388","doi":"10.1088/0031-9155/61/4/1476","title":"Modulated photon radiotherapy (XMRT): an algorithm for the simultaneous optimization of photon beamlet energy and intensity in external beam radiotherapy (EBRT) planning","year":2016,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Fluence; Imaging phantom; Photon; Radiation therapy; Radiation treatment planning; Nuclear medicine; Beam (structure); Photon energy; Energy (signal processing); Radiation; Dosimetry; Homogeneity (statistics); Optics; Mathematics; Physics; Medicine; Statistics; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006662923,0.0006109346,0.0005005119,0.0003154655,0.0003155341,0.0004455619,0.000811511,0.0007679799,0.002061931],"category_scores_gemma":[0.0009354536,0.0004721799,0.0005703437,0.0004462367,0.0003477688,0.000491994,0.0008828061,0.0006822327,0.0005091119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000514004,"about_ca_system_score_gemma":0.0007553793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001484152,"about_ca_topic_score_gemma":0.00251927,"domain_scores_codex":[0.9997211,0.00007815554,0.00001021489,0.00003967497,0.0001363833,0.00001449464],"domain_scores_gemma":[0.9998636,0.00007167808,0.00002401277,0.00001362972,0.00002248808,0.000004611309],"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":[0.000174308,0.00006035418,0.0007607298,0.0002878466,0.000141251,0.0001257959,0.0001947933,0.5883824,0.03102833,0.01819481,0.004367191,0.3562822],"study_design_scores_gemma":[0.00006496392,0.00009565503,0.0003003116,0.00002402144,0.00003017529,0.0001363898,0.00001207308,0.9781871,0.007799657,0.004273605,0.009061784,0.00001422886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003647068,0.000213095,0.9943401,0.00006012359,0.0000148968,0.00006167711,0.00002397482,0.0004036582,0.001235464],"genre_scores_gemma":[0.05011242,0.0001897129,0.947474,0.00008121202,0.00001480664,0.000214481,0.00005482491,0.000181353,0.001677236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002061931,"threshold_uncertainty_score":0.006897867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04250246400264326,"score_gpt":0.3455939774962113,"score_spread":0.303091513493568,"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."}}