{"id":"W4383376127","doi":"10.3390/diagnostics13132279","title":"Optimal Abdominal CT Image Quality in Non-Lean Patients: Customization of CM Injection Protocols and Low-Energy Acquisitions","year":2023,"lang":"en","type":"article","venue":"Diagnostics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nuclear medicine; Medicine; Image quality; Digital Enhanced Cordless Telecommunications; Radiology","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":[0.0001083125,0.0001005355,0.0001428093,0.0001410388,0.00004174604,0.0000161877,0.00005096696,0.00003090622,0.000008447592],"category_scores_gemma":[0.0002885956,0.0001152878,0.00002207677,0.0003612679,0.00003908519,0.0002213476,0.00003162491,0.00008610304,0.000007114623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004427337,"about_ca_system_score_gemma":0.000008897849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002823514,"about_ca_topic_score_gemma":0.00001558492,"domain_scores_codex":[0.9993277,0.0000199524,0.0002685287,0.0001172328,0.0001046203,0.0001619443],"domain_scores_gemma":[0.9995281,0.0002069018,0.00004863623,0.000113753,0.0000656466,0.00003693],"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":[0.00006511148,0.0002975466,0.07731486,0.0006094296,0.0000262605,0.00002814181,0.001087497,0.8918179,0.003167332,0.0006493009,0.001887437,0.02304917],"study_design_scores_gemma":[0.00369211,0.0002310084,0.439685,0.0007903673,0.00003565531,0.000005671563,0.001006661,0.5286205,0.02354828,0.001047864,0.0006539164,0.0006829355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349333,0.00001659409,0.06296363,0.0000143308,0.0001096793,0.001414718,0.00006263454,0.0001407901,0.0003442983],"genre_scores_gemma":[0.9968973,0.00008668806,0.001794574,0.00001821509,0.00004326406,0.001014906,0.0001106135,0.00002395357,0.00001045846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3631974,"threshold_uncertainty_score":0.4701302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007122179853151051,"score_gpt":0.2710737689365238,"score_spread":0.2639515890833727,"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."}}