{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000958569,0.0001188717,0.0002518519,0.00003248571,0.00003872042,0.000002730153,0.00005845193,0.00003645197,0.00002408428],"category_scores_gemma":[0.000007053036,0.00007065811,0.00002103029,0.00004849915,0.0002468045,0.00006455263,0.00001830655,0.00006226925,2.016881e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000106619,"about_ca_system_score_gemma":0.000009896825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000765138,"about_ca_topic_score_gemma":0.00001011282,"domain_scores_codex":[0.9994194,0.00002512486,0.0001334808,0.0002206536,0.00002444337,0.0001768926],"domain_scores_gemma":[0.9995334,0.000232192,0.00006173416,0.0001109889,0.00002447629,0.00003720195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008500717,0.00004217821,0.1028227,0.00001216739,0.00005523436,3.994066e-7,0.0006073353,0.000001712075,0.05594616,0.06378396,0.0006402359,0.7760029],"study_design_scores_gemma":[0.01554632,0.00319496,0.008136739,0.0004116611,0.00007305166,0.000006742553,0.0009315812,0.002453536,0.01817822,0.7181776,0.2318818,0.001007756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3948498,0.001223915,0.5991448,0.0031397,0.0001287412,0.0005307735,0.0001603999,0.00005472459,0.000767175],"genre_scores_gemma":[0.994136,0.0003888279,0.004287256,0.0003648287,0.000615044,0.00008122498,0.000008453539,0.00001540772,0.000102983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7749952,"threshold_uncertainty_score":0.2881354,"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."}}