{"id":"W2122362539","doi":"10.1088/0031-9155/60/13/4951","title":"Comparison between EGSnrc, Geant4, MCNP5 and Penelope for mono-energetic electron beams","year":2015,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"RADIUS; Physics; Scattering; Electron; Electron scattering; Monte Carlo method; Computation; Cathode ray; Atomic physics; Beam (structure); Computational physics; Nuclear physics; Optics; Computer science; Mathematics; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003022621,0.0001327816,0.0003516801,0.00005846236,0.00002499315,0.000004613451,0.00007293615,0.00008971806,9.46712e-7],"category_scores_gemma":[0.00006889785,0.0001106976,0.00001237904,0.0001156786,0.00009305922,0.00004300758,0.00001704553,0.0001778387,0.000001128147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005402918,"about_ca_system_score_gemma":0.0000190244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002948362,"about_ca_topic_score_gemma":0.00001609302,"domain_scores_codex":[0.9992716,0.00003782547,0.0001967393,0.0001668534,0.00004487111,0.0002821063],"domain_scores_gemma":[0.9995127,0.0002541851,0.00003392306,0.00009729152,0.00002743863,0.00007444484],"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":[0.0001774319,0.0001664916,0.2167819,0.0006820249,0.0004874049,0.000003606222,0.005680417,0.1429057,0.02905386,0.07153343,0.02356986,0.5089578],"study_design_scores_gemma":[0.007141662,0.004207234,0.01695335,0.0001196892,0.000222535,0.00001091064,0.0004060235,0.729389,0.01429457,0.1613556,0.06491221,0.0009871823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675388,0.00602621,0.02466734,0.0004784905,0.0002546006,0.0002702571,0.000005096285,0.00007142089,0.000687821],"genre_scores_gemma":[0.998337,0.0003576064,0.0004990163,0.0000835947,0.0006000597,0.00002828807,0.00006698074,0.00001810694,0.000009289612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5864833,"threshold_uncertainty_score":0.4514118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1598268168443502,"score_gpt":0.3897206381777153,"score_spread":0.2298938213333651,"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."}}