{"id":"W2466225649","doi":"10.1118/1.4956165","title":"SU‐F‐T‐30: Comprehensive Dosimetric Characterization of the Novel Direction Modulation Brachytherapy (DMBT) Tandem Applicator Using Monte Carlo Simulations","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Brachytherapy; Tandem; Monte Carlo method; Dosimetry; Nuclear medicine; Materials science; Physics; Optics; Computational physics; Radiation therapy; Mathematics; Medicine; 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":[0.0003062866,0.0003216376,0.0003308119,0.0002190213,0.0001777285,0.0003541084,0.000539939,0.0005531802,0.001527209],"category_scores_gemma":[0.0006620586,0.0002711391,0.0004014506,0.0003807701,0.0001761257,0.0002104506,0.0001213434,0.0002197295,0.0003508803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006648229,"about_ca_system_score_gemma":0.0006219053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004446974,"about_ca_topic_score_gemma":0.003539204,"domain_scores_codex":[0.9998906,0.00001666544,0.000005504964,0.00001945204,0.00005080267,0.00001702098],"domain_scores_gemma":[0.999713,0.0001153259,0.00005267845,0.00002872089,0.0000720007,0.00001823945],"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":[0.0001991646,0.0000525623,0.004085841,0.0001580801,0.00005410558,0.0001239371,0.00007934369,0.9393597,0.04606993,0.001084432,0.0008768801,0.007856051],"study_design_scores_gemma":[0.00001600692,0.00009980323,0.002740536,0.0000066099,0.00001405019,0.00009078162,0.00001574386,0.974374,0.02123637,0.0002418143,0.001148078,0.00001611186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8697882,0.0009209429,0.1118793,0.0001315561,0.00002948682,0.0001123955,0.001749835,0.001229237,0.01415909],"genre_scores_gemma":[0.9818973,0.0001655461,0.01538113,0.00002213329,0.000003284215,0.00007776236,0.0006394599,0.0001330964,0.001680219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004446974,"threshold_uncertainty_score":0.00884217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920741489394878,"score_gpt":0.2870449818743465,"score_spread":0.2678375669803977,"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."}}