{"id":"W2468048118","doi":"10.1118/1.4955960","title":"SU‐F‐J‐52: A Novel Approach to X‐Ray Tube Quality Assurance for CBCT Systems in Order to Better Assess the Patient Imaging Dose in a Large, Multi‐Unit Treatment Facility","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Quality assurance; Calibration; Imaging phantom; Medical physics; Nuclear medicine; Detector; Medical imaging; Dosimetry; Image quality; Generator (circuit theory); Cone beam computed tomography; Monitor unit; Medicine; Computer science; Mathematics; Physics; Optics; Computed tomography; Radiology; Artificial intelligence; Statistics","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":[0.002067916,0.0006178118,0.0007056164,0.0009453231,0.0004278205,0.001848182,0.001224432,0.001115645,0.001289347],"category_scores_gemma":[0.002651793,0.0006684924,0.0004935798,0.0005836806,0.0007884905,0.001203368,0.0007055636,0.0009290993,0.0004610164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368281,"about_ca_system_score_gemma":0.0006897683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523548,"about_ca_topic_score_gemma":0.003046592,"domain_scores_codex":[0.9983619,0.0002195932,0.00007350373,0.0004416251,0.0008153541,0.00008791743],"domain_scores_gemma":[0.9986149,0.0002645262,0.0004209424,0.0002657041,0.0003718224,0.00006210789],"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":[0.0004022006,0.0001715759,0.01156175,0.0002975721,0.00009125122,0.00008546611,0.0001278706,0.003612356,0.8621641,0.000839185,0.0007058658,0.1199408],"study_design_scores_gemma":[0.00008271588,0.001562214,0.06290447,0.00005286425,0.0002467015,0.001910862,0.00006548814,0.1222019,0.801136,0.0003664075,0.009321578,0.0001488883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3305583,0.003028207,0.6570518,0.0003956476,0.0001289004,0.0002873943,0.0001968085,0.004620371,0.003732538],"genre_scores_gemma":[0.522419,0.0005172041,0.4735835,0.0001830323,0.00005593017,0.0001324721,0.0002775567,0.0005045543,0.002326664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002067916,"threshold_uncertainty_score":0.01093626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085028492495019,"score_gpt":0.3423103858424583,"score_spread":0.3014601009175081,"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."}}