{"id":"W2940980201","doi":"10.1109/tmi.2019.2912137","title":"X-Ray Fluorescence Computed Tomography Induced by Photon, Electron, and Proton Beams","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Western Canada Research Grid; Compute Canada","keywords":"Imaging phantom; Physics; Photon; Monte Carlo method; Electron; Proton; Optics; Nuclear physics","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":[0.0006598145,0.0003628038,0.0002656988,0.0003804264,0.0002161521,0.0004516052,0.0003691247,0.0004707457,0.001527265],"category_scores_gemma":[0.001696699,0.0003167116,0.0003422452,0.0003971906,0.0005305705,0.0004163272,0.0003970465,0.0003159513,0.0001687683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156261,"about_ca_system_score_gemma":0.000535229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003058035,"about_ca_topic_score_gemma":0.00135137,"domain_scores_codex":[0.9995804,0.0001141454,0.000019646,0.00005411309,0.0001295993,0.0001019566],"domain_scores_gemma":[0.9994916,0.0002672067,0.00009726793,0.00004063134,0.00007149149,0.00003191126],"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":[0.003990948,0.0001369403,0.01481917,0.000304666,0.00007246576,0.001182359,0.0002162603,0.06442612,0.9010328,0.002764549,0.0007396395,0.01031406],"study_design_scores_gemma":[0.0001163794,0.0006396407,0.03522392,0.00004163478,0.00007548472,0.001037722,0.0001020717,0.0509092,0.9095209,0.0003625093,0.001925321,0.00004518042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835775,0.0007772924,0.01145921,0.0000837376,0.00001794926,0.00005665818,0.0004573577,0.0001779068,0.00339247],"genre_scores_gemma":[0.9893475,0.0005841883,0.008522573,0.00006445835,0.000006087887,0.00005591801,0.000375674,0.00004951019,0.0009939657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003058035,"threshold_uncertainty_score":0.008389235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0037829626794799,"score_gpt":0.2173190427919129,"score_spread":0.213536080112433,"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."}}