{"id":"W2609129987","doi":"10.1097/rct.0000000000000617","title":"Dual-Energy CT: Balance Between Iodine Attenuation and Artifact Reduction for the Evaluation of Head and Neck Cancer","year":2017,"lang":"en","type":"article","venue":"Journal of Computer Assisted Tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Iodine; Artifact (error); Attenuation; Medicine; Imaging phantom; Nuclear medicine; Monochromatic color; Hounsfield scale; Computed tomography; Biomedical engineering; Radiology; Materials science; Optics; Computer science; Artificial intelligence; Physics","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":[0.0003893516,0.00009202355,0.000186399,0.0001168487,0.0001676291,0.00007030555,0.00008083288,0.00002322329,0.000001765622],"category_scores_gemma":[0.00001424106,0.00007013393,0.00007462652,0.00007444908,0.00006211466,0.0003703233,0.00001533966,0.00009556395,3.176375e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001988937,"about_ca_system_score_gemma":0.00001426899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001019778,"about_ca_topic_score_gemma":0.000004898099,"domain_scores_codex":[0.9993053,0.00002697222,0.0002814917,0.00007771678,0.0002121501,0.00009633695],"domain_scores_gemma":[0.9991578,0.00007049661,0.0003327041,0.0001367286,0.0002624243,0.00003987825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004114596,0.00002220384,0.05204107,0.00006595148,0.0003353279,9.62105e-7,0.0002083709,0.02801745,0.002824091,0.00004025433,0.0003532923,0.9160499],"study_design_scores_gemma":[0.001194953,0.00008780539,0.8579436,0.0002059692,0.0002513766,0.00004242794,0.00002004286,0.1363646,0.002051925,0.0007827509,0.0009590663,0.00009543858],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8648668,0.002494206,0.1315162,0.0004629253,0.0005128111,0.000101723,0.000008179375,0.00001119534,0.00002591772],"genre_scores_gemma":[0.9952199,0.0003369079,0.00390046,0.00001071595,0.0005096206,0.000007750281,0.000002270229,0.000010033,0.000002272592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9159544,"threshold_uncertainty_score":0.2859979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03733955894661028,"score_gpt":0.3086371849576245,"score_spread":0.2712976260110142,"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."}}