{"id":"W2781856811","doi":"10.1007/978-3-031-22871-1_4","title":"Computed Tomography: A Technical Review","year":2023,"lang":"en","type":"review","venue":"","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"Burnaby Hospital","funders":"","keywords":"Hounsfield scale; Attenuation; Scanner; Tomography; Computed tomography; Multislice; Nuclear medicine; Computed radiography; Correction for attenuation; Digital data; Data acquisition; Radiography; Computer science; Medicine; Artificial intelligence; Radiology; Computer vision; Image quality; Physics; Positron emission tomography; Optics; Image (mathematics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001316928,0.0003811246,0.001525562,0.0001766875,0.00002874753,0.00001644642,0.0003259057,0.0001540206,0.00009546084],"category_scores_gemma":[0.00002086717,0.0003034927,0.0005821329,0.001146326,0.00002408401,0.00005487229,0.00007705188,0.0005285612,0.0007896374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000450246,"about_ca_system_score_gemma":0.00002209215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.002463e-7,"about_ca_topic_score_gemma":0.000001474017,"domain_scores_codex":[0.9987556,0.00002608822,0.0005412887,0.0002465149,0.0001334937,0.0002970606],"domain_scores_gemma":[0.9993191,0.0001148339,0.0000497678,0.0004162182,0.0000176769,0.00008244735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[3.383893e-8,0.000003110847,2.878703e-8,0.1457458,0.00006646387,0.00001683129,4.071678e-7,0.00001674038,3.169023e-8,0.0001650062,0.01184506,0.8421405],"study_design_scores_gemma":[0.00001812215,0.000003201482,1.407202e-7,0.124474,0.0002999222,0.00004207172,3.86904e-7,0.00005082356,9.330066e-8,0.0000510208,0.8747536,0.0003065921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[7.108321e-10,0.9798328,0.008438822,0.000009825914,0.0002499799,0.0006065666,0.00001345635,0.003260404,0.007588126],"genre_scores_gemma":[3.017743e-8,0.9962432,0.002885435,0.00008199089,0.000112391,0.0001672414,0.00009115523,0.0001278055,0.0002906934],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8629085,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04731718031627993,"score_gpt":0.3354897112836147,"score_spread":0.2881725309673348,"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."}}