{"id":"W4206803310","doi":"10.1088/1748-0221/17/01/p01004","title":"Multi-contrast CT imaging using a high energy resolution CdTe detector and a CZT photon-counting detector","year":2022,"lang":"en","type":"article","venue":"Journal of Instrumentation","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Cadmium zinc telluride; Imaging phantom; Detector; Cadmium telluride photovoltaics; Optics; Materials science; Physics; Contrast (vision); Image resolution; Photon counting; Resolution (logic); Subtraction; Nuclear medicine; Optoelectronics; Medicine; Computer science; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001161093,0.0006855463,0.0007340725,0.001873723,0.0002907382,0.001198678,0.001425953,0.001034248,0.00384838],"category_scores_gemma":[0.002047405,0.0008124514,0.0004698031,0.001419255,0.0005213182,0.0009194236,0.001067544,0.000725466,0.001100799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007490927,"about_ca_system_score_gemma":0.0008525265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001419941,"about_ca_topic_score_gemma":0.00198151,"domain_scores_codex":[0.9990922,0.000149399,0.00008015744,0.0002360868,0.0003689176,0.00007311375],"domain_scores_gemma":[0.9989722,0.0003776018,0.0001110307,0.0001430186,0.0003230012,0.00007331729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005530784,0.00003811251,0.003088388,0.0002170503,0.00005198473,0.0003148285,0.0000196146,0.001566813,0.9714901,0.001078994,0.0004693734,0.02111157],"study_design_scores_gemma":[0.0001320611,0.0002058884,0.00648802,0.00003974373,0.0001274672,0.004691284,0.00004039521,0.05875293,0.9239559,0.0006001826,0.004876902,0.00008917158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1945141,0.001291165,0.7969239,0.0003534165,0.00007630858,0.0002650084,0.0006662933,0.002186776,0.00372296],"genre_scores_gemma":[0.2527316,0.0006382818,0.7433664,0.0001704535,0.00002105895,0.0001842075,0.0003521008,0.0001538337,0.002382136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00384838,"threshold_uncertainty_score":0.01287407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008220567875836263,"score_gpt":0.2228310012378089,"score_spread":0.2146104333619726,"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."}}