{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001395963,0.0001232547,0.0003723003,0.00007786041,0.00003422028,0.000005519991,0.0001042035,0.00001791185,0.00003642186],"category_scores_gemma":[0.0001311674,0.00007643367,0.00005330378,0.0001276707,0.0001313872,0.00005196538,0.00002219967,0.0001040433,0.000003434067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002799417,"about_ca_system_score_gemma":0.00005195429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008835908,"about_ca_topic_score_gemma":0.00001190143,"domain_scores_codex":[0.9988793,0.00006646127,0.0002285113,0.0001745975,0.0005193897,0.0001317195],"domain_scores_gemma":[0.9991919,0.0001808787,0.000203163,0.0002799612,0.00006854603,0.00007550454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000863501,0.0008640078,0.01470009,0.0006067643,0.00113124,0.000007133904,0.01253778,0.02476273,0.9319242,0.002209662,0.0005946802,0.009798235],"study_design_scores_gemma":[0.01437721,0.0008403609,0.2039291,0.001773279,0.000599428,0.000009438763,0.0004211492,0.1960507,0.5805178,0.0001874193,0.0009510065,0.0003431977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970995,0.0003650734,0.000006882633,0.001554814,0.00007935159,0.0002876786,0.00001057471,0.00001313743,0.0005829833],"genre_scores_gemma":[0.9990839,0.0001877085,0.00001032861,0.000379783,0.0001121436,0.00001145732,0.000005095099,0.00001293868,0.000196625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3514064,"threshold_uncertainty_score":0.3116875,"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."}}