{"id":"W3080164741","doi":"10.1088/2633-1357/abb291","title":"Monitor unit calculation in electron therapy using Monte Carlo Simulation: a GUI for the phase-space field trimming","year":2020,"lang":"en","type":"article","venue":"IOP SciNotes","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Monte Carlo method; Trimming; Graphical user interface; Linear particle accelerator; Computer science; Field (mathematics); Phase space; Physics; Computational physics; Computational science; Algorithm; Mathematics; Optics; Statistics; Beam (structure)","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":[0.001510514,0.001533478,0.0006478038,0.00106713,0.0002815636,0.0007783418,0.001688605,0.0008005068,0.02950499],"category_scores_gemma":[0.004009596,0.0005130625,0.0007558622,0.0004055137,0.0002495823,0.0006719371,0.0008080397,0.00096878,0.005412947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003613926,"about_ca_system_score_gemma":0.0005378954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104515,"about_ca_topic_score_gemma":0.0007269658,"domain_scores_codex":[0.9995572,0.0001328208,0.00004950328,0.00006243779,0.000157067,0.00004108661],"domain_scores_gemma":[0.9978531,0.001389707,0.00008064391,0.0001782691,0.0004073381,0.00009095523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002863818,0.000745772,0.01038072,0.001555989,0.0003462448,0.001617148,0.001250214,0.1740965,0.1051632,0.01276117,0.1011272,0.5880919],"study_design_scores_gemma":[0.0004179587,0.0002362363,0.003259252,0.00018059,0.00008455355,0.0006369894,0.00004596781,0.8322394,0.09529045,0.003111094,0.06431253,0.0001849922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01158901,0.0001462554,0.8685153,0.0001390769,0.00007421878,0.00024688,0.00109874,0.1139462,0.004244414],"genre_scores_gemma":[0.2138022,0.0003670087,0.7335055,0.0004414265,0.00007833857,0.001353194,0.003193896,0.03677202,0.01048633],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02950499,"threshold_uncertainty_score":0.09870398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06075546271395078,"score_gpt":0.3847872249411227,"score_spread":0.3240317622271719,"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."}}