{"id":"W2041891618","doi":"10.1118/1.3613167","title":"Changes in dose with segmentation of breast tissues in Monte Carlo calculations for low‐energy brachytherapy","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Imaging phantom; Monte Carlo method; Dosimetry; Voxel; Fluence; Brachytherapy; Nuclear medicine; Photon; Adipose tissue; Physics; Photon energy; Biomedical engineering; Medicine; Optics; Radiation therapy; Radiology; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008682217,0.0005419889,0.0003094985,0.0003411579,0.0002706246,0.0009234045,0.0004869103,0.0005871693,0.0008900749],"category_scores_gemma":[0.004744902,0.0004886618,0.000502144,0.0004290575,0.0002816074,0.0003603746,0.0003091301,0.000408427,0.000183004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001804788,"about_ca_system_score_gemma":0.0006943462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004334123,"about_ca_topic_score_gemma":0.003823252,"domain_scores_codex":[0.9995863,0.0001493726,0.00002183487,0.00004264827,0.0001684483,0.00003140002],"domain_scores_gemma":[0.9978312,0.001560389,0.0002831274,0.0001061192,0.0001840284,0.00003518804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005469215,0.00008023194,0.01004764,0.0001798243,0.00008874619,0.00009124869,0.000264908,0.9156436,0.05279766,0.001109529,0.0002495677,0.01890014],"study_design_scores_gemma":[0.00006472293,0.0004931928,0.009921562,0.00005768409,0.0001099567,0.0002149201,0.0000626091,0.8999785,0.08647745,0.0006353295,0.001930236,0.00005375144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195565,0.001365814,0.1724531,0.0002181951,0.00003389529,0.00013881,0.0002041357,0.001669379,0.004360188],"genre_scores_gemma":[0.9567541,0.000245263,0.04177386,0.00006514323,0.000003589961,0.00004764926,0.0001633876,0.000334959,0.0006121205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004334123,"threshold_uncertainty_score":0.01309466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551608228491233,"score_gpt":0.2670619466640262,"score_spread":0.2515458643791139,"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."}}