{"id":"W2088908396","doi":"10.1088/0031-9155/49/24/005","title":"The dose distribution of low dose rate Cs-137 in intracavitary brachytherapy: comparison of Monte Carlo simulation, treatment planning calculation and polymer gel measurement","year":2004,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal General Hospital","funders":"Engineering and Physical Sciences Research Council; Cancer Research Institute","keywords":"Brachytherapy; Monte Carlo method; Imaging phantom; Materials science; Homogeneous; Dosimetry; Radiation treatment planning; Polymer; Nuclear medicine; Biomedical engineering; Dose rate; Physics; Medical physics; Radiation therapy; Medicine; Mathematics; Composite material; Radiology; Statistical physics; 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":[0.0006812821,0.0003040197,0.000350764,0.0006663965,0.0001304791,0.000720291,0.0003718123,0.0004047484,0.0007913332],"category_scores_gemma":[0.002342305,0.0003331571,0.0003740081,0.0005903097,0.0003778367,0.0002658133,0.0002897677,0.0003653125,0.0002133336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009671652,"about_ca_system_score_gemma":0.0004275332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417263,"about_ca_topic_score_gemma":0.001063439,"domain_scores_codex":[0.9996052,0.0001209077,0.000015253,0.00004353117,0.0001950965,0.00002005787],"domain_scores_gemma":[0.9990382,0.0006045743,0.0001592303,0.00008475686,0.00008756107,0.0000257065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002232467,0.0001371391,0.02088544,0.0006183595,0.000242996,0.000326578,0.0006335608,0.2963626,0.587649,0.002944335,0.0004414515,0.08752609],"study_design_scores_gemma":[0.0001794718,0.00134473,0.03391834,0.00008768495,0.0003492505,0.001505036,0.000145685,0.3248806,0.6314447,0.001221538,0.004790528,0.0001324311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7841486,0.003292683,0.206793,0.0001667365,0.00002953758,0.00007096944,0.0001030541,0.000839043,0.004556478],"genre_scores_gemma":[0.9780356,0.0004440859,0.02016425,0.0000380804,0.000005674701,0.00002455414,0.00006905215,0.0002687424,0.0009499675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001417263,"threshold_uncertainty_score":0.007017255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112801380584705,"score_gpt":0.4058572766583503,"score_spread":0.2945771385998799,"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."}}