{"id":"W2053824794","doi":"10.1088/0031-9155/57/8/n89","title":"Study of the IMRT interplay effect using a 4DCT Monte Carlo dose calculation","year":2012,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Multileaf collimator; Monte Carlo method; Imaging phantom; Computer science; Collimator; Nuclear medicine; Simulation; Algorithm; Radiation treatment planning; Radiation therapy; Mathematics; Physics; Statistics; Medicine; Optics; 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":[0.0008700149,0.0004593225,0.0005109573,0.0005856524,0.0003390811,0.000599419,0.0005870361,0.0004917992,0.001589734],"category_scores_gemma":[0.003396722,0.0004306669,0.000434006,0.0007400975,0.0002412523,0.0003950206,0.0004080927,0.0004877425,0.0001966081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000858031,"about_ca_system_score_gemma":0.0009949517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005908519,"about_ca_topic_score_gemma":0.004734247,"domain_scores_codex":[0.9995919,0.0001123451,0.0000242735,0.00003854806,0.0002106045,0.00002239641],"domain_scores_gemma":[0.9987354,0.0008104237,0.0001060902,0.0001226515,0.0001957617,0.00002980627],"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":[0.0001366286,0.00005140942,0.003312506,0.00007719448,0.00005985619,0.0001065669,0.0001012532,0.950332,0.02241489,0.001744643,0.0003323426,0.02133081],"study_design_scores_gemma":[0.00001322617,0.0000461213,0.001449667,0.000006455571,0.00002147408,0.00006693959,0.000008605905,0.9840808,0.0130368,0.0002399049,0.001016107,0.00001381635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2630786,0.0003861762,0.7265452,0.000157895,0.00004034075,0.0002600067,0.0004075817,0.001904186,0.007220092],"genre_scores_gemma":[0.7980792,0.0001760372,0.1990817,0.00005474179,0.000009702834,0.0001546696,0.0002482392,0.0004919531,0.0017038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005908519,"threshold_uncertainty_score":0.01174825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0990609788306485,"score_gpt":0.438527764558382,"score_spread":0.3394667857277335,"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."}}