{"id":"W2530120533","doi":"10.1016/j.mri.2016.10.007","title":"Composite pulses for RF phase encoded MRI: A simulation study","year":2016,"lang":"en","type":"article","venue":"Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Antisymmetric relation; Composite number; Pulse (music); Flip angle; Phase (matter); Optics; Encoding (memory); Physics; Pulse sequence; Materials science; Nuclear magnetic resonance; Acoustics; Computer science; Algorithm; Magnetic resonance imaging; Artificial intelligence; Quantum mechanics","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":[0.0006364784,0.0004452424,0.000700007,0.0005968639,0.0004096782,0.0009834934,0.001050308,0.002201755,0.004235672],"category_scores_gemma":[0.00393086,0.0004609041,0.0005636345,0.0008082939,0.0005311911,0.0009316577,0.0003827401,0.0008131031,0.000414644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006306238,"about_ca_system_score_gemma":0.0008123112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006524916,"about_ca_topic_score_gemma":0.003496214,"domain_scores_codex":[0.9998504,0.00005141931,0.000005698515,0.00001457519,0.00004667048,0.00003117335],"domain_scores_gemma":[0.9967853,0.002532196,0.0001654421,0.0001041586,0.0003157245,0.00009726096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000216212,0.0001273039,0.0004923705,0.000105066,0.00002510991,0.0002345579,0.00007148871,0.9885834,0.001729569,0.004873735,0.000624522,0.002916592],"study_design_scores_gemma":[0.00004791134,0.00006831365,0.0001384412,0.00001000105,0.0000137389,0.00004116562,0.00002024934,0.9977986,0.0006858174,0.0007984401,0.0003688098,0.000008494634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7803017,0.002372034,0.150318,0.001182086,0.0002176228,0.0002837283,0.000910403,0.0005719339,0.06384239],"genre_scores_gemma":[0.9732491,0.0005919788,0.01943064,0.0001368782,0.00002862318,0.0001014947,0.0001832414,0.000103966,0.006173975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006524916,"threshold_uncertainty_score":0.01416975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341299875672292,"score_gpt":0.3762569472717263,"score_spread":0.3528439485150034,"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."}}