{"id":"W2030644629","doi":"10.1118/1.3273032","title":"Performance characterization of a MVCT scanner using multislice thick, segmented cadmium tungstate‐photodiode detectors","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Detective quantum efficiency; Optics; Imaging phantom; Tomotherapy; Detector; Nuclear medicine; Scanner; Image resolution; Dosimetry; Physics; Dot pitch; Cone beam computed tomography; Dosimeter; Radiation; Image quality; Pixel; Medicine; Radiology; Computer science; Radiation therapy; Computed tomography; 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":[0.00008645198,0.0001495019,0.0001970766,0.00003369168,0.00005543983,0.000008460707,0.0001212755,0.00006873746,0.00002626805],"category_scores_gemma":[0.00002694627,0.0001452493,0.00004416243,0.0002452932,0.0000499272,0.0003022281,0.00001618242,0.0002489892,0.000006564819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005927033,"about_ca_system_score_gemma":0.00002823987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007412049,"about_ca_topic_score_gemma":0.000001024189,"domain_scores_codex":[0.9990141,0.00001489393,0.000242864,0.000130944,0.0003443405,0.0002528877],"domain_scores_gemma":[0.9996182,0.00001865486,0.00005676553,0.0001460349,0.00004641616,0.000113958],"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":[0.00001974101,0.00007027607,0.00088075,0.0001593307,0.00002229493,0.000009458607,0.0007245624,0.01269888,0.9068849,0.00001054673,0.0000127923,0.07850647],"study_design_scores_gemma":[0.0003507608,0.00003281902,0.003944385,0.0001954817,0.00001829447,0.00000668406,0.00001732729,0.5043485,0.4907074,0.00003201289,0.0001641141,0.000182219],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8536566,0.00002761942,0.1457275,0.00002529247,0.0001689736,0.00008989229,0.000007577174,0.0001337195,0.0001627169],"genre_scores_gemma":[0.9990779,0.00007501908,0.0004403466,0.0001563622,0.0001814206,0.000003427625,0.00002722454,0.00002337896,0.00001498008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4916496,"threshold_uncertainty_score":0.5923094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008817880078678678,"score_gpt":0.2283846335294715,"score_spread":0.2195667534507928,"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."}}