{"id":"W2160057197","doi":"10.1109/tns.2006.874074","title":"Image reconstruction from the Compton scattering of X-ray fan beams in thick/dense objects","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Compton scattering; Iterative reconstruction; Nonlinear system; Physics; Inverse problem; Scattering; Optics; Inverse scattering problem; Transformation (genetics); Inverse; Beam (structure); Algorithm; Computational physics; Mathematical analysis; Computer science; Computer vision; Mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00081894,0.0006616347,0.0004201841,0.0006080595,0.0002155514,0.0009038123,0.0003764887,0.0005294789,0.0008598161],"category_scores_gemma":[0.001449452,0.0003992887,0.0003004135,0.000565353,0.0007296309,0.0007578589,0.0007501395,0.0005044643,0.0002298882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002936331,"about_ca_system_score_gemma":0.0006015581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009688857,"about_ca_topic_score_gemma":0.0012535,"domain_scores_codex":[0.9998073,0.00003331465,0.000008857914,0.00002296356,0.0001079708,0.00001968519],"domain_scores_gemma":[0.9995483,0.0002016914,0.00006634174,0.00006349783,0.00008881605,0.00003137509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007422689,0.0001139246,0.005004389,0.0003935164,0.00006692233,0.001186237,0.0007997959,0.2930997,0.4973085,0.03199667,0.001058975,0.1682292],"study_design_scores_gemma":[0.00003987282,0.0001067046,0.00285686,0.00002940015,0.00001788717,0.0008986502,0.0001562031,0.8197899,0.1647421,0.009555782,0.001762043,0.000044696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1760087,0.0001421528,0.8209022,0.0001165496,0.00001171171,0.00003431509,0.00005064709,0.0003370301,0.002396565],"genre_scores_gemma":[0.4555089,0.0002378096,0.5420398,0.00005225975,0.00001126523,0.00003717243,0.0001670294,0.0001011323,0.001844523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009688857,"threshold_uncertainty_score":0.004330993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005744851373920281,"score_gpt":0.200582481231419,"score_spread":0.1948376298574987,"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."}}