{"id":"W1979834676","doi":"10.1118/1.4734850","title":"SU‐E‐J‐17: Evaluation of Metal Artifact Reduction in MVCTs Using a Model Based Image Reconstruction Method","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rod; Imaging phantom; Bremsstrahlung; Materials science; Iterative reconstruction; Optics; Attenuation; Detector; Projection (relational algebra); Cathode ray; Physics; Photon; Electron; Mathematics; Computer science; Nuclear physics; Algorithm; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001734873,0.0005722392,0.0004980071,0.0008064693,0.0001615512,0.001054198,0.0007941584,0.0008730827,0.003360847],"category_scores_gemma":[0.003339582,0.0003173608,0.0005044516,0.0005788576,0.000218039,0.000628873,0.000406964,0.0004065849,0.0008607079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003586554,"about_ca_system_score_gemma":0.0005768423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247874,"about_ca_topic_score_gemma":0.001341399,"domain_scores_codex":[0.9993087,0.0001415355,0.00004525101,0.00008131359,0.0003842303,0.00003895423],"domain_scores_gemma":[0.9987046,0.0004562098,0.0001570859,0.0001871034,0.0004393918,0.00005571045],"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":[0.004669523,0.0006179821,0.01633987,0.001310373,0.0005987097,0.0004681053,0.0002238379,0.1334868,0.3744154,0.002018555,0.003003247,0.4628475],"study_design_scores_gemma":[0.00006263099,0.001086718,0.01060474,0.00003761953,0.0001699949,0.00151931,0.00005627313,0.7487877,0.2349061,0.0002246122,0.002485009,0.00005927098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3612883,0.001626917,0.6252621,0.0001522972,0.00006536537,0.0001513034,0.0005897786,0.007241852,0.003621903],"genre_scores_gemma":[0.5957329,0.0005286587,0.3972252,0.00008633507,0.00001470489,0.0001050693,0.001685354,0.0009487142,0.00367311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003360847,"threshold_uncertainty_score":0.0112431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05154369082923786,"score_gpt":0.3432631273043119,"score_spread":0.291719436475074,"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."}}