{"id":"W955591275","doi":"10.3233/xst-150475","title":"Fast analytical scatter estimation using graphics processing units","year":2015,"lang":"en","type":"article","venue":"Journal of X-Ray Science and Technology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"Nvidia","keywords":"Monte Carlo method; Estimator; Imaging phantom; Optics; Projection (relational algebra); Detector; Graphics processing unit; Physics; Computer science; Algorithm; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007584912,0.00006731512,0.0001717658,0.001446284,0.00009300781,0.00007907826,0.0001299441,0.00005484647,7.771911e-7],"category_scores_gemma":[0.0005162438,0.00004829191,0.00002128998,0.003541087,0.001147652,0.0007556651,0.00003693163,0.0002201959,6.633609e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003843382,"about_ca_system_score_gemma":0.0006003823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002135841,"about_ca_topic_score_gemma":2.288538e-7,"domain_scores_codex":[0.9990366,0.00000515786,0.0002219199,0.0001091971,0.0004435958,0.0001835071],"domain_scores_gemma":[0.9983214,0.000008855667,0.0001501203,0.00008382452,0.001277356,0.0001585002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001172356,0.0002777734,0.1935562,0.00008417529,0.0000580579,0.0003575793,0.000485523,0.0002375179,0.01368632,0.006706812,0.000522864,0.7839099],"study_design_scores_gemma":[0.007611508,0.005473602,0.08386993,0.003138893,0.001021333,0.07318828,0.01069865,0.7407614,0.01471228,0.05329699,0.005204268,0.001022872],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873804,0.0003428354,0.004939128,0.006711742,0.00007016336,0.00004112661,3.234383e-7,0.00002001425,0.0004942148],"genre_scores_gemma":[0.9931855,0.000008032979,0.006547878,0.0002020282,0.00004069926,1.894336e-7,1.473304e-7,0.000003635068,0.00001184028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.782887,"threshold_uncertainty_score":0.4228573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03971678993893601,"score_gpt":0.3123265426078255,"score_spread":0.2726097526688895,"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."}}