{"id":"W7067581885","doi":"","title":"Monte Carlo modeling of the Varian TrueBeam linear accelerator, with chamber effects included in determination of the source parameters","year":2016,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; Varian Medical Systems","keywords":"Truebeam; Monte Carlo method; Linear particle accelerator; Beam (structure); Calibration; Filter (signal processing); Phase (matter)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006731447,0.0004666634,0.0005280836,0.0005808807,0.0005892804,0.001552144,0.001662148,0.0009022807,0.008636842],"category_scores_gemma":[0.001680377,0.0006918006,0.0007763818,0.001019401,0.0003949973,0.0009260671,0.0004938174,0.0007956268,0.00284593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762558,"about_ca_system_score_gemma":0.002440779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01509002,"about_ca_topic_score_gemma":0.01352213,"domain_scores_codex":[0.9995881,0.0001079154,0.00002236981,0.00006821435,0.0001859238,0.00002748487],"domain_scores_gemma":[0.999252,0.0003193001,0.00006697638,0.00007522555,0.0002566772,0.00002983896],"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":[0.00006278913,0.00002032965,0.0009484146,0.00008183368,0.00003410288,0.00008684987,0.00009134345,0.9655175,0.003107822,0.01657307,0.00452529,0.008950814],"study_design_scores_gemma":[0.000008613719,0.00001639255,0.0003455103,0.00001045312,0.00001147673,0.00004908158,0.000009400243,0.9845592,0.00195402,0.002366558,0.01065122,0.0000180674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03158375,0.0007091801,0.9059349,0.0005838017,0.000146334,0.0002531496,0.004125183,0.003989937,0.05267365],"genre_scores_gemma":[0.5571548,0.001399538,0.359814,0.0004735756,0.00009700025,0.001210716,0.006695514,0.003115481,0.07003937],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01509002,"threshold_uncertainty_score":0.03000438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015630210759041,"score_gpt":0.2173620901286156,"score_spread":0.2072057880210252,"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."}}