{"id":"W2077261526","doi":"10.1118/1.3702591","title":"Geometric distortion and shimming considerations in a rotating MR‐linac design due to the influence of low‐level external magnetic fields","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Cancer Foundation; University of Alberta","funders":"Alberta Cancer Foundation","keywords":"Shim (computing); Magnet; Physics; Magnetic field; Linear particle accelerator; Acoustics; Imaging phantom; Residual; Nuclear magnetic resonance; Distortion (music); Computer science; Optics; Algorithm; Amplifier","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":[0.0006987552,0.0004249581,0.0002028844,0.0001915617,0.0002002568,0.0003374979,0.0004450858,0.0003170693,0.001337314],"category_scores_gemma":[0.002210703,0.0002310952,0.0002600252,0.00018345,0.0003682504,0.0002527228,0.0002195356,0.0001615797,0.000337658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003325684,"about_ca_system_score_gemma":0.0003422949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006780997,"about_ca_topic_score_gemma":0.000778729,"domain_scores_codex":[0.999681,0.000156298,0.00001404113,0.00003258626,0.0000918219,0.00002422843],"domain_scores_gemma":[0.9990526,0.000451601,0.0002098017,0.000148339,0.0001139681,0.000023653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009284263,0.00006510779,0.008634018,0.000455949,0.00008506075,0.0003967834,0.0003370304,0.7038583,0.2500569,0.002794337,0.0005548298,0.03183318],"study_design_scores_gemma":[0.0002041561,0.003925177,0.02391265,0.00006141997,0.0004300666,0.00164216,0.0001961258,0.7161568,0.2417192,0.001438731,0.01023112,0.0000824671],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7680042,0.0003507449,0.2246141,0.0001610184,0.00003359887,0.00008264506,0.0001084382,0.000683984,0.005961319],"genre_scores_gemma":[0.9758946,0.00008874069,0.02308635,0.00003185656,0.000006806655,0.00002399034,0.00005985662,0.00007271151,0.0007350084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001337314,"threshold_uncertainty_score":0.004473805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0403479934731008,"score_gpt":0.3234419976193464,"score_spread":0.2830940041462456,"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."}}