{"id":"W2943885529","doi":"10.1016/j.ejmp.2019.04.015","title":"Monte Carlo simulations of different CT X-ray energy spectra within CTDI phantom and the influence of its changes on radiochromic film measurements","year":2019,"lang":"en","type":"article","venue":"Physica Medica","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; Montreal General Hospital","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Imaging phantom; Monte Carlo method; X-ray; Materials science; Spectral line; Computational physics; Optics; Medical physics; Physics; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006281338,0.000447613,0.0005469744,0.0004910036,0.0004717092,0.0006639017,0.0007045033,0.001188962,0.001577283],"category_scores_gemma":[0.003143223,0.0005343008,0.0005159402,0.0009051157,0.0004781095,0.000401986,0.0002515345,0.0005871114,0.0001674859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008859771,"about_ca_system_score_gemma":0.0006051172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008754098,"about_ca_topic_score_gemma":0.004183549,"domain_scores_codex":[0.9996892,0.0001023601,0.00001855126,0.00005105075,0.00008490985,0.00005393061],"domain_scores_gemma":[0.996928,0.002231502,0.0002083314,0.0001768094,0.0003895897,0.00006579444],"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":[0.0001541747,0.0000462404,0.001550811,0.00006925003,0.00002757638,0.00009356848,0.00006995509,0.9886564,0.006287527,0.0008426441,0.0001549696,0.002046873],"study_design_scores_gemma":[0.00001559552,0.0000537543,0.001344786,0.00001201596,0.00002200298,0.00004316154,0.0000296098,0.9908755,0.007140779,0.0001965784,0.0002494726,0.0000166357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9243756,0.0009783963,0.06503755,0.0002833273,0.00008357983,0.00008728539,0.0005690943,0.0005968174,0.007988466],"genre_scores_gemma":[0.989349,0.00018325,0.009077355,0.00005200511,0.000007345596,0.00004532991,0.0001849618,0.00009713267,0.001003657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008754098,"threshold_uncertainty_score":0.01740628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633980807752169,"score_gpt":0.2573254199698402,"score_spread":0.2409856118923185,"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."}}