{"id":"W1543995890","doi":"10.1120/jacmp.v14i6.4417","title":"Scanner and kVp dependence of measured CT numbers in the ACR CT phantom","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"","keywords":"Imaging phantom; Scanner; Nuclear medicine; Hounsfield scale; Automatic exposure control; Image quality; Materials science; Medicine; Computed tomography; Biomedical engineering; Radiology; Computer science; Physics; Optics","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":[0.002743589,0.0005196755,0.0003084474,0.0009168626,0.0002078548,0.0005926111,0.0006940471,0.000482429,0.001937213],"category_scores_gemma":[0.02922545,0.0005086794,0.0002352277,0.001094013,0.0007061946,0.0005718844,0.0007475128,0.0005132792,0.000421269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006125966,"about_ca_system_score_gemma":0.0003195406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073405,"about_ca_topic_score_gemma":0.001059035,"domain_scores_codex":[0.9953798,0.001933784,0.0004159032,0.000687479,0.001406552,0.0001764102],"domain_scores_gemma":[0.9764874,0.0158729,0.002230892,0.002353606,0.002833951,0.000221196],"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":[0.004292686,0.000212751,0.04641647,0.00041066,0.0001589672,0.0004082092,0.001046541,0.02626032,0.8531484,0.001394324,0.0008875768,0.06536312],"study_design_scores_gemma":[0.00006449571,0.001454126,0.1153475,0.00004432932,0.0001117786,0.00140634,0.0001543518,0.02918574,0.8482251,0.0004875993,0.003416171,0.0001024174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8706467,0.0009317538,0.1190668,0.0002007402,0.00005177207,0.0001978505,0.0007817271,0.001615281,0.006507243],"genre_scores_gemma":[0.9550441,0.0001737562,0.04172684,0.00007789906,0.0000104251,0.0001758058,0.0009430495,0.0004577494,0.001390333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002743589,"threshold_uncertainty_score":0.01450962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177387994732671,"score_gpt":0.3039126092381297,"score_spread":0.282138729290803,"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."}}