{"id":"W2044238953","doi":"10.1118/1.4735565","title":"SU‐E‐T‐476: GPU‐Based Monte Carlo Radiotherapy Dose Calculation Using Phase‐ Space Sources","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; BC Cancer Agency","funders":"","keywords":"Monte Carlo method; Imaging phantom; Computer science; Phase space; Dosimetry; Field size; Computational science; Physics; Computational physics; Optics; Mathematics; Nuclear 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":[0.0004322473,0.0004896011,0.0003090615,0.0004147793,0.0002249646,0.0006612902,0.001249478,0.0004668169,0.006908921],"category_scores_gemma":[0.001504241,0.0002779711,0.0004426212,0.0005453206,0.000211024,0.0004669723,0.0004734938,0.0005157939,0.001723932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000753555,"about_ca_system_score_gemma":0.0009537521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003409898,"about_ca_topic_score_gemma":0.004087619,"domain_scores_codex":[0.9997718,0.00004756001,0.00001220956,0.00002140823,0.0001315464,0.00001558085],"domain_scores_gemma":[0.9996227,0.00009111888,0.00002762446,0.00006423591,0.00017207,0.00002218621],"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":[0.0005896129,0.0001633808,0.004429887,0.0004439066,0.0001549372,0.0002398441,0.0002710192,0.5927138,0.04464278,0.0252433,0.02271529,0.3083922],"study_design_scores_gemma":[0.0000493297,0.00004038818,0.0003886301,0.00001239025,0.000008297779,0.0000571519,0.000005804004,0.9768057,0.01263744,0.001348706,0.00863497,0.00001129587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02519532,0.0002132368,0.9530903,0.0001830674,0.00006037083,0.0001066118,0.0004573074,0.009767781,0.01092601],"genre_scores_gemma":[0.2934626,0.0002412262,0.6914697,0.0002094915,0.00003236587,0.000318928,0.001595231,0.002691467,0.00997896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006908921,"threshold_uncertainty_score":0.02311265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113433428169756,"score_gpt":0.3331668283936283,"score_spread":0.3120324941119307,"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."}}