{"id":"W1979600230","doi":"10.1118/1.3271104","title":"Monte Carlo dosimetry for and eye plaque brachytherapy with various seed models","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; Ontario Innovation Trust; Canada Foundation for Innovation; Carleton University","keywords":"Silastic; Brachytherapy; Dosimetry; Monte Carlo method; Sclera; Materials science; Silicone; Biomedical engineering; Nuclear medicine; Optics; Medicine; Physics; Radiation therapy; Mathematics; Composite material; Surgery","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":[0.00008267123,0.0001322739,0.0002948343,0.00001792591,0.00006806994,0.000005918478,0.00004328871,0.0001491151,0.000008377238],"category_scores_gemma":[0.0000189703,0.00008968356,0.00005028476,0.00007935289,0.00009677499,0.00006365085,0.000008026179,0.0001868678,0.000003179813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003161454,"about_ca_system_score_gemma":0.0001168519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001820321,"about_ca_topic_score_gemma":0.000005538005,"domain_scores_codex":[0.9992165,0.00001215542,0.0001104492,0.0002092163,0.0002524262,0.0001992595],"domain_scores_gemma":[0.9994966,0.00006433242,0.00003517327,0.0001556847,0.00003321573,0.0002149789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007567416,0.007464317,0.1374427,0.0003134994,0.002621785,0.002181614,0.00299231,0.0002867975,0.000698724,0.009988202,0.002754263,0.8256884],"study_design_scores_gemma":[0.1732842,0.05104021,0.3775151,0.001670486,0.00484011,0.00106471,0.0002255891,0.1439974,0.02823716,0.2048908,0.01058162,0.002652631],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670684,0.0006145459,0.02720241,0.003685317,0.0000609461,0.0005312208,0.000008726151,0.00006574127,0.0007626438],"genre_scores_gemma":[0.9946062,0.00007694242,0.001097031,0.003652394,0.0002221397,0.00002080001,0.0000154609,0.00001520255,0.0002938523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8230357,"threshold_uncertainty_score":0.3657189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123397541458625,"score_gpt":0.2876403083647116,"score_spread":0.2753005542188491,"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."}}