{"id":"W2070355477","doi":"10.1118/1.1429622","title":"Modulation transfer function of digitally reconstructed radiographs using helical computed tomography","year":2001,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Cancer Foundation; University of Alberta","funders":"","keywords":"Isocenter; Helical scan; Optical transfer function; Imaging phantom; Image resolution; Radiography; Digital radiography; Nuclear medicine; Computed radiography; Materials science; Iterative reconstruction; Tomography; Optics; Physics; Image quality; Medicine; Computer science; Radiology; Artificial intelligence; Image (mathematics); Acoustics","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":[0.00068541,0.0002759089,0.0002176158,0.0006724483,0.00009673858,0.0004447607,0.0002738791,0.0004687711,0.0006694873],"category_scores_gemma":[0.005959216,0.0002105931,0.0001578736,0.0004783424,0.0003252578,0.0003006539,0.0002090754,0.0002633093,0.0001940534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003405532,"about_ca_system_score_gemma":0.0001392866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008915522,"about_ca_topic_score_gemma":0.0004164556,"domain_scores_codex":[0.9996589,0.00009003388,0.00001447641,0.00003957879,0.0001567412,0.00004033998],"domain_scores_gemma":[0.998054,0.0009856048,0.000332618,0.0001486863,0.0004331013,0.00004595978],"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":[0.001068146,0.0000780473,0.01131367,0.000153647,0.00003867758,0.0003990135,0.0003219248,0.00838852,0.9113038,0.0004925789,0.0001572185,0.06628477],"study_design_scores_gemma":[0.00009784134,0.001674885,0.07258596,0.00006120092,0.0001257683,0.002303904,0.0001459452,0.06748162,0.853267,0.0004981043,0.001654995,0.0001028225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630319,0.0002822602,0.03541655,0.00008075206,0.00001022724,0.00002663865,0.00008943213,0.0002610985,0.0008012287],"genre_scores_gemma":[0.9826407,0.000131543,0.01674898,0.00002688604,0.000007469345,0.00001083924,0.00007407484,0.00003092233,0.0003286159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008915522,"threshold_uncertainty_score":0.003624856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0273060208662025,"score_gpt":0.2826132114221144,"score_spread":0.2553071905559119,"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."}}