{"id":"W2017636666","doi":"10.1088/0031-9155/52/19/015","title":"Monte Carlo simulation of a computed tomography x-ray tube","year":2007,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal General Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University Health Centre","keywords":"Monte Carlo method; Nuclear medicine; Materials science; Scanner; Spectral line; Computed tomography; Detector; Spectrometer; Physics; Tomography; Ionization chamber; Computational physics; Optics; Medicine; Mathematics; Radiology; Ionization; Statistics; Ion","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":[0.0001171876,0.00006928697,0.0001693011,0.00007479509,0.00001107828,6.075472e-7,0.00003554459,0.00003478156,0.000002816292],"category_scores_gemma":[0.00001128081,0.00005654761,0.0000145948,0.0002057035,0.00009057062,0.00003279139,0.000009883679,0.0000948771,2.321047e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005687671,"about_ca_system_score_gemma":0.000001584086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001937561,"about_ca_topic_score_gemma":0.000006968683,"domain_scores_codex":[0.9996086,0.00000885957,0.0001559975,0.00007691693,0.00002783219,0.000121729],"domain_scores_gemma":[0.9997288,0.0001422011,0.00002131813,0.00006304673,0.00002245748,0.00002215198],"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":[0.00002799592,0.00002964489,0.02551667,0.00009326644,0.00003802592,0.000004183605,0.001177172,0.8305141,0.03117629,0.00117567,0.00004763317,0.1101994],"study_design_scores_gemma":[0.001687841,0.0002429114,0.02948906,0.0001817434,0.0000290835,0.000002176775,0.0006303811,0.9525814,0.003055879,0.00977403,0.002076412,0.0002490921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7972655,0.001425321,0.2002085,0.00003332293,0.0001629493,0.00006666993,0.000001852383,0.00004326187,0.0007926604],"genre_scores_gemma":[0.9989908,0.00006104506,0.0007061224,0.00006777592,0.0001624437,9.761973e-7,0.000003798535,0.000005573996,0.000001465516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2017253,"threshold_uncertainty_score":0.2305945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06957203304111374,"score_gpt":0.341723195934744,"score_spread":0.2721511628936302,"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."}}