{"id":"W2768177208","doi":"10.1016/j.apradiso.2017.11.023","title":"Monte Carlo calculations of electrons impinging on a copper target: A comparison of EGSnrc, Geant4 and MCNP5","year":2017,"lang":"en","type":"article","venue":"Applied Radiation and Isotopes","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Monte Carlo method; Electron; Physics; Isotropy; Fluence; Atomic physics; Photon; Electron scattering; Computational physics; Scattering; Copper; Nuclear physics; Materials science; Irradiation; Optics; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001208379,0.00009552883,0.0002907853,0.000125083,0.0002064219,0.00002186477,0.00004443639,0.00006749072,0.00002419176],"category_scores_gemma":[0.00003941985,0.00008455729,0.00003746355,0.0000560882,0.00009332782,0.0000692739,0.00001248523,0.00009219915,0.000001626255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001666174,"about_ca_system_score_gemma":0.00003219329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006624783,"about_ca_topic_score_gemma":0.000007059737,"domain_scores_codex":[0.999346,0.00001402545,0.0002492932,0.0001497658,0.0001281821,0.0001127082],"domain_scores_gemma":[0.9993664,0.00006497328,0.0002498271,0.0002130763,0.0000356322,0.00007010264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001214958,0.0007105747,0.7006442,0.0003586423,0.0006000593,0.000002168749,0.00959916,0.001618002,0.1106488,0.05766996,0.004894381,0.1120391],"study_design_scores_gemma":[0.004431964,0.0004817469,0.8821623,0.00008683988,0.0001456895,0.000005583514,0.000542337,0.0253723,0.07270679,0.0002654757,0.01356044,0.0002385401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931586,0.001580496,0.0002410869,0.0009051911,0.00003732642,0.0003749939,0.00001375887,0.00001771759,0.003670831],"genre_scores_gemma":[0.9987065,0.000519042,0.0003928795,0.0001969767,0.00005151412,0.00001435994,0.000008600135,0.00001049245,0.00009958749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1815181,"threshold_uncertainty_score":0.3448146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683770417204878,"score_gpt":0.317685080909173,"score_spread":0.3008473767371242,"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."}}