{"id":"W1970773818","doi":"10.1088/0031-9155/47/17/304","title":"On the de-noising of Monte Carlo calculated dose distributions","year":2002,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Monte Carlo method; Smoothing; Algorithm; Computer science; Mathematics; Mathematical optimization; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00271289,0.0006290277,0.0006173866,0.0008607456,0.0006307912,0.001122047,0.0008928244,0.000873121,0.001213765],"category_scores_gemma":[0.01450606,0.000474905,0.0004965587,0.0007566538,0.001031819,0.001104142,0.0009352633,0.001224402,0.0005735078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053066,"about_ca_system_score_gemma":0.001177932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002510346,"about_ca_topic_score_gemma":0.003738383,"domain_scores_codex":[0.9985009,0.0003859873,0.00009424251,0.0001655141,0.0007917219,0.00006164517],"domain_scores_gemma":[0.9914804,0.006062519,0.0006504863,0.0009245247,0.0008063025,0.00007568912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004282153,0.00008060793,0.001938874,0.000170929,0.00008788628,0.00007501585,0.0002581787,0.4497505,0.041912,0.03296207,0.0009721346,0.4713636],"study_design_scores_gemma":[0.00002558175,0.00008936071,0.001942236,0.00004305607,0.00003368862,0.000216631,0.00003086319,0.9254469,0.04852644,0.01512092,0.008460657,0.0000637343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007574685,0.0001095704,0.9911986,0.00004500421,0.00001209636,0.0000230913,0.000009881569,0.0004019174,0.0006251478],"genre_scores_gemma":[0.1088392,0.0002277994,0.8890079,0.00008221632,0.00002298449,0.00008834094,0.00007105397,0.0003072098,0.001353389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00271289,"threshold_uncertainty_score":0.01434731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1165020246954401,"score_gpt":0.3779744196179351,"score_spread":0.261472394922495,"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."}}