{"id":"W2077659190","doi":"10.1118/1.2761013","title":"SU-FF-T-349: PMC, a New Fast Monte Carlo Code for Radiation Therapy","year":2007,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Electron; Monte Carlo method; Physics; Imaging phantom; Secondary electrons; Track (disk drive); Position (finance); Energy (signal processing); Radiation; Stack (abstract data type); Stopping power; Computational physics; Computer science; Optics; Nuclear physics; Mathematics","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":[0.000931025,0.0008262879,0.00078369,0.000618205,0.0005405899,0.001095185,0.002347705,0.001342122,0.01407767],"category_scores_gemma":[0.002562784,0.000600565,0.0009416116,0.0009634321,0.0003314135,0.0009580979,0.0008058613,0.001393433,0.004843823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201813,"about_ca_system_score_gemma":0.002155808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005473963,"about_ca_topic_score_gemma":0.005176637,"domain_scores_codex":[0.999476,0.00009631529,0.00003243802,0.00004549148,0.0003120773,0.00003778901],"domain_scores_gemma":[0.9989595,0.0003029107,0.00008784582,0.0001282299,0.0004697232,0.00005178699],"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":[0.0006539121,0.0001726112,0.003707213,0.001158532,0.000319313,0.0005341261,0.0002744848,0.4881496,0.03146461,0.03208164,0.0881931,0.3532909],"study_design_scores_gemma":[0.0001116351,0.00007831664,0.0007456926,0.00005364999,0.00004744964,0.0003084407,0.00001220876,0.9090021,0.01843957,0.004146913,0.06699391,0.00006010784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01173469,0.001582169,0.9449121,0.0003389709,0.0003806875,0.0002557942,0.002330018,0.02563856,0.01282714],"genre_scores_gemma":[0.1240852,0.001304235,0.8347521,0.0005217653,0.0001374453,0.001129495,0.006110707,0.009819531,0.02213941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01407767,"threshold_uncertainty_score":0.04709446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143529263439513,"score_gpt":0.3098888631670326,"score_spread":0.2955359368230813,"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."}}