{"id":"W2548608032","doi":"10.1088/0031-9155/61/23/8214","title":"egs_brachy: a versatile and fast Monte Carlo code for brachytherapy","year":2016,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Compute Canada","keywords":"Brachytherapy; Monte Carlo method; Imaging phantom; Voxel; Computer science; Source code; Nuclear medicine; Physics; Computational science; Mathematics; Optics; Statistics; Radiation therapy; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073359,0.0009730369,0.0007148157,0.0007040973,0.0005813958,0.001278449,0.002904744,0.001692291,0.05894738],"category_scores_gemma":[0.003026085,0.001127209,0.00115574,0.001051173,0.0004397435,0.0009333418,0.001852761,0.001757968,0.02058438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008329644,"about_ca_system_score_gemma":0.001882787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005731295,"about_ca_topic_score_gemma":0.01054244,"domain_scores_codex":[0.9995122,0.00008271868,0.00005056486,0.00007647506,0.0002115168,0.00006661564],"domain_scores_gemma":[0.9990791,0.000371232,0.00007654383,0.00016251,0.000235737,0.00007484383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009709224,0.0001783245,0.003390979,0.001485197,0.0003630436,0.0005016561,0.0004711547,0.2055353,0.03333465,0.01705982,0.3891428,0.3475661],"study_design_scores_gemma":[0.0005157503,0.000162279,0.003131413,0.000207303,0.0001082134,0.0007450405,0.00005964367,0.5410902,0.05395097,0.01265406,0.38712,0.000255242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01144765,0.00105153,0.6746436,0.0004877596,0.0004484301,0.0004553416,0.01772185,0.2533711,0.04037274],"genre_scores_gemma":[0.1663559,0.001027137,0.6577392,0.001046083,0.0001325288,0.001553329,0.02148623,0.1122543,0.03840534],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05894738,"threshold_uncertainty_score":0.1971986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09346932491434962,"score_gpt":0.3885715064476107,"score_spread":0.2951021815332611,"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."}}