{"id":"W4321441019","doi":"10.1007/978-3-031-22871-1","title":"Dose Optimization in Digital Radiography and Computed Tomography","year":2023,"lang":"en","type":"book","venue":"","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Burnaby Hospital","funders":"","keywords":"Computed tomography; Digital radiography; Radiography; Computed radiography; Tomography; Nuclear medicine; Medical physics; Computed tomography laser mammography; Medicine; Radiology; Computer science; Computer vision; Preclinical imaging; Image quality; 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":[],"consensus_categories":[],"category_scores_codex":[0.00002929545,0.0002243936,0.0002415245,0.0007490149,0.0000220839,0.00007871806,0.00007891621,0.0001316499,0.00001376826],"category_scores_gemma":[0.000003272374,0.0002430944,0.00007879399,0.0004072472,0.00004137428,0.0002508819,0.00003260827,0.0002327124,0.000009826161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000276403,"about_ca_system_score_gemma":0.000009550747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.972189e-7,"about_ca_topic_score_gemma":0.000003484452,"domain_scores_codex":[0.9993122,0.000002396506,0.0002057376,0.0001969736,0.00009367086,0.0001890043],"domain_scores_gemma":[0.999726,0.0000507859,0.00002278982,0.0001289351,0.00001678263,0.00005472145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005092064,0.000009485451,0.0004423954,0.0002082878,0.00009282433,0.00004008378,0.00009423371,0.9753231,0.000002794736,0.0008758497,0.007626327,0.01527957],"study_design_scores_gemma":[0.001506794,0.00005370733,0.001263993,0.0008254751,0.00005713022,0.00002312504,0.00008104801,0.9408363,0.00001627377,0.01443011,0.03922549,0.001680613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002043866,0.003629317,0.3668599,0.00002166658,0.0006982397,0.0005215364,0.00009181524,0.002834945,0.6251382],"genre_scores_gemma":[0.05635483,0.01000177,0.09371476,0.0004361068,0.001645489,0.0002092023,0.006464303,0.001869123,0.8293044],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2731452,"threshold_uncertainty_score":0.9913103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00502781604910514,"score_gpt":0.1851660613039954,"score_spread":0.1801382452548903,"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."}}