{"id":"W4405438329","doi":"10.1088/2057-1976/ad9f66","title":"Development of a low-dose strategy for propagation-based imaging helical computed tomography (PBI-HCT): high image quality and reduced radiation dose","year":2024,"lang":"en","type":"article","venue":"Biomedical Physics & Engineering Express","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Light Source","keywords":"Computed tomography; Image quality; Radiation dose; Nuclear medicine; Helical computed tomography; Quality (philosophy); Biomedical engineering; Medicine; Medical physics; Materials science; Radiology; Computer science; Image (mathematics); Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003025271,0.0002238022,0.0003736709,0.0001917306,0.00004296596,0.00005119347,0.00009870988,0.00008641386,0.000009944359],"category_scores_gemma":[0.00005826324,0.000211372,0.0001069271,0.0004693735,0.0001191765,0.0001172708,0.00003795673,0.0001801523,0.000001665437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208987,"about_ca_system_score_gemma":0.0003175439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002103249,"about_ca_topic_score_gemma":1.167253e-7,"domain_scores_codex":[0.9983137,0.00002282356,0.0005226621,0.000410465,0.0004457031,0.0002847012],"domain_scores_gemma":[0.9990199,0.0003342597,0.00007993331,0.0002244945,0.000106651,0.0002348047],"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":[0.0001264873,0.0004177405,0.00009616269,0.005353035,0.000163859,0.00001304708,0.0004082831,0.0008170794,0.9415066,0.0009994603,0.001226116,0.04887219],"study_design_scores_gemma":[0.00637315,0.0003154057,0.0415564,0.00444755,0.000264686,0.000007661214,0.00006462794,0.5738882,0.3488955,0.0005402581,0.02271535,0.0009312481],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3084706,0.000543409,0.6882652,0.001105553,0.000405018,0.0008227886,0.0001036497,0.0002798729,0.000003925623],"genre_scores_gemma":[0.8728375,0.00001149179,0.1260028,0.00006209438,0.0004202706,0.0002788633,0.0003375621,0.00004661425,0.000002786283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5926111,"threshold_uncertainty_score":0.8619498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254195472222507,"score_gpt":0.3092931756227255,"score_spread":0.2867512209005004,"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."}}