{"id":"W2463607152","doi":"10.1118/1.4957399","title":"TU-AB-BRC-05: Creation of a Monte Carlo TrueBeam Model by Reproducing Varian Phase Space Data","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":"McGill University","funders":"","keywords":"Truebeam; Monte Carlo method; Fluence; Physics; Parameter space; Nuclear medicine; Computational physics; Optics; Statistics; Mathematics; Linear particle accelerator; Medicine","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":[0.001039759,0.000571664,0.0005296246,0.0005543531,0.0004499974,0.00134118,0.00199213,0.001452673,0.006670416],"category_scores_gemma":[0.002404036,0.0006055192,0.0008820712,0.0007700704,0.0003439921,0.0008233214,0.0005036542,0.0007485653,0.003016947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204867,"about_ca_system_score_gemma":0.002085096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02078954,"about_ca_topic_score_gemma":0.01852375,"domain_scores_codex":[0.9996184,0.0001035523,0.00001805214,0.00006503722,0.0001586827,0.0000361977],"domain_scores_gemma":[0.9990414,0.0003484849,0.00006862073,0.0001496799,0.0003395355,0.00005228766],"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":[0.0001515622,0.0000577742,0.00290362,0.00008675086,0.00004462933,0.0001020269,0.00008432208,0.973375,0.003770194,0.003624815,0.00656815,0.009231157],"study_design_scores_gemma":[0.0000298915,0.00003578568,0.0008423177,0.00001359873,0.0000149151,0.00008002356,0.00001315907,0.9862576,0.003606231,0.0009244278,0.008155435,0.00002659247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1860597,0.0004578521,0.7283671,0.0006661494,0.0001852978,0.0006438015,0.01566381,0.01577245,0.05218393],"genre_scores_gemma":[0.7127651,0.0003125095,0.2495757,0.0005689374,0.00003815276,0.001341421,0.01559834,0.006002678,0.01379725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02078954,"threshold_uncertainty_score":0.04133707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020435256285783,"score_gpt":0.3248674644527478,"score_spread":0.3044322081669648,"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."}}