{"id":"W2573970687","doi":"10.1016/j.ejmp.2017.01.002","title":"Monte Carlo simulations for medical physics: From fundamental physics to cancer treatment","year":2017,"lang":"en","type":"editorial","venue":"Physica Medica","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"BC Cancer Agency; University of Melbourne","keywords":"Monte Carlo method; Medical physics; Event (particle physics); Medical radiation; Physics; Statistical physics; Mathematics; Astrophysics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001358197,0.0006576471,0.001395945,0.0000736216,0.0005099758,0.0001188421,0.0004981706,0.0007390474,0.0005158046],"category_scores_gemma":[0.0008239766,0.0005535392,0.0006087656,0.0001447852,0.0002672542,0.0001500989,0.00008095512,0.0006549188,0.0001180826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007786023,"about_ca_system_score_gemma":0.002953969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002150167,"about_ca_topic_score_gemma":0.0002135902,"domain_scores_codex":[0.9957461,0.00006235728,0.0005374522,0.0009351,0.002144653,0.0005743093],"domain_scores_gemma":[0.9955641,0.00158765,0.0004538911,0.001165421,0.0003182065,0.0009107071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004752322,0.000779747,0.0001047775,0.00008639842,0.001420618,0.00001347169,0.001114612,0.0001164921,0.0001235314,0.0000112531,0.9159902,0.07976366],"study_design_scores_gemma":[0.005964193,0.0008145514,0.0001283922,0.000665685,0.00115347,2.888694e-7,0.00003207284,0.004734947,0.0008171201,0.0003479086,0.9848416,0.0004997989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00597936,0.002104782,0.002359343,0.01237453,0.9487873,0.004296264,0.02288312,0.0003673414,0.0008479623],"genre_scores_gemma":[0.08983675,0.0005503734,0.0002802146,0.0007234183,0.9012741,0.0009061942,0.003116176,0.0001673175,0.003145482],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08385739,"threshold_uncertainty_score":0.9996916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834522008978939,"score_gpt":0.3757767520560472,"score_spread":0.3474315319662578,"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."}}