{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001546785,0.0003329672,0.0003071,0.0004182238,0.0002293634,0.0004955792,0.0006168243,0.0007224263,0.001370778],"category_scores_gemma":[0.003987359,0.0003747092,0.0002023329,0.0003743248,0.0003148732,0.0006368731,0.0002990598,0.0001850392,0.000253409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005049367,"about_ca_system_score_gemma":0.0004488914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009901781,"about_ca_topic_score_gemma":0.001090344,"domain_scores_codex":[0.9994631,0.000118673,0.00004276091,0.0001436554,0.0001935015,0.0000382321],"domain_scores_gemma":[0.996824,0.001639608,0.0002501602,0.0002087939,0.0009549735,0.0001225656],"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":[0.001710252,0.000134481,0.01497326,0.0001873736,0.00006681094,0.0001522274,0.0002280374,0.004726369,0.9549714,0.0001990407,0.0002893653,0.02236141],"study_design_scores_gemma":[0.0001710754,0.008183018,0.06080453,0.00004969205,0.0001815269,0.001297536,0.0001361144,0.06665339,0.8600802,0.00009135497,0.002282925,0.00006862154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591311,0.0003496524,0.03932911,0.00006958681,0.00001428295,0.00009639966,0.0001370518,0.0003098124,0.0005630114],"genre_scores_gemma":[0.9586699,0.0001253094,0.0400558,0.00008129873,0.00000969535,0.00005869745,0.0002807987,0.00006473323,0.0006537388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001546785,"threshold_uncertainty_score":0.008180261,"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."}}