{"id":"W4210348825","doi":"10.1002/mp.15503","title":"Investigation of image quality of MV and kV CBCT with low‐Z beams and high DQE detector","year":2022,"lang":"en","type":"article","venue":"Medical Physics","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Truebeam; Imaging phantom; Cone beam computed tomography; Materials science; Detector; Optics; Nuclear medicine; Flat panel detector; Beam (structure); Dot pitch; Image quality; Dosimeter; Physics; Dosimetry; Pixel; Medicine; Linear particle accelerator; Computed tomography; Radiology","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":[0.001330486,0.0004039003,0.0003312874,0.0007969802,0.0001304234,0.0005781697,0.0003932292,0.0006775635,0.001460079],"category_scores_gemma":[0.002571406,0.0003993242,0.0003818454,0.000395469,0.0003111114,0.000421975,0.0003377073,0.0002193628,0.0001999299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004041294,"about_ca_system_score_gemma":0.0002214844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009198565,"about_ca_topic_score_gemma":0.0008605319,"domain_scores_codex":[0.9993283,0.0001373999,0.00004244783,0.0001104933,0.0003298923,0.00005165243],"domain_scores_gemma":[0.9982551,0.0007381787,0.0002797423,0.0001368944,0.0005230561,0.00006703072],"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":[0.001782659,0.00009943738,0.03098891,0.0003771427,0.0002163921,0.0005175559,0.000110927,0.00829621,0.9282508,0.0001789253,0.0001632378,0.0290177],"study_design_scores_gemma":[0.0003063791,0.002143388,0.2012582,0.0001264001,0.0008868895,0.006579028,0.0001723262,0.09110899,0.6949632,0.000218363,0.002129072,0.0001078586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492081,0.001704562,0.04713114,0.0001031775,0.00001576313,0.00006468062,0.000189635,0.0002715138,0.001311498],"genre_scores_gemma":[0.972682,0.0003941751,0.02614076,0.00004876504,0.0000112745,0.00002685813,0.0002057495,0.0001069694,0.00038348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001460079,"threshold_uncertainty_score":0.007036328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276522169558146,"score_gpt":0.2598641983914818,"score_spread":0.2470989766959003,"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."}}