{"id":"W2150715549","doi":"10.1016/s0969-8043(01)00130-0","title":"Monte Carlo simulation of a clinical linear accelerator","year":2001,"lang":"en","type":"article","venue":"Applied Radiation and Isotopes","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Siemens USA","keywords":"Monte Carlo method; Linear particle accelerator; Percentage depth dose curve; Imaging phantom; Physics; Beam (structure); Computational physics; Optics; Ionization chamber; Consistency (knowledge bases); Dosimetry; Nuclear medicine; Mathematics; Statistics; Ion; Geometry; Ionization","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001079491,0.00008166031,0.0001834413,0.00003682761,0.00004460026,0.00001062553,0.0000492715,0.00004175057,0.0001338873],"category_scores_gemma":[0.00000479473,0.00007422862,0.00004307681,0.00008613639,0.00003657489,0.00009580124,0.00001075216,0.00007536791,0.000001854175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000508969,"about_ca_system_score_gemma":0.00001502787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002699452,"about_ca_topic_score_gemma":6.205862e-7,"domain_scores_codex":[0.9993837,0.00001833324,0.0002958894,0.0001464227,0.00007004937,0.0000855493],"domain_scores_gemma":[0.9995793,0.00008197359,0.0001497327,0.0001145665,0.00003077269,0.00004362885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001183334,0.0001559324,0.1992033,0.000008524172,0.00008674737,3.500798e-7,0.0004222673,0.01911877,0.00149749,0.01026761,0.0003058993,0.7688148],"study_design_scores_gemma":[0.004343444,0.0002652143,0.09697574,0.00002561997,0.00006610769,8.412325e-7,0.0003253331,0.3847266,0.01189129,0.002949235,0.4977287,0.0007018711],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865979,0.0001547469,0.1289834,0.00006911615,0.0000574657,0.0003960146,0.00001101513,0.00006934103,0.004279879],"genre_scores_gemma":[0.9936449,0.0001236244,0.005659854,0.0001074594,0.0003026222,0.00002488693,0.000005067162,0.00001177663,0.0001198167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.768113,"threshold_uncertainty_score":0.3026955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508540671146646,"score_gpt":0.3512353860195334,"score_spread":0.3261499793080669,"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."}}