{"id":"W1976044692","doi":"10.1002/mrm.21468","title":"Sodium imaging optimization under specific absorption rate constraint","year":2008,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Heritage Foundation for Medical Research; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Flip angle; Specific absorption rate; Relaxation (psychology); Pulse (music); Nuclear magnetic resonance; Absorption (acoustics); Signal-to-noise ratio (imaging); Physics; Radio frequency; SIGNAL (programming language); Magnetic resonance imaging; Optics; Materials science; Chemistry; Computer science; Telecommunications; Medicine","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":[0.0005348076,0.000466265,0.0004329058,0.0001802903,0.0002139267,0.0005702341,0.0004675611,0.0004191288,0.001349076],"category_scores_gemma":[0.001057824,0.0002920052,0.0003616414,0.0002512819,0.0003110076,0.0006338822,0.0004692553,0.0003356279,0.0003539243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005236801,"about_ca_system_score_gemma":0.0008031111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009202895,"about_ca_topic_score_gemma":0.0008628466,"domain_scores_codex":[0.9998434,0.00003791532,0.000007504275,0.00003453771,0.00005178829,0.00002496923],"domain_scores_gemma":[0.9997551,0.00008965369,0.00003950084,0.00001536429,0.0000841467,0.0000162824],"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":[0.0005742506,0.0001057929,0.0009255406,0.0002576008,0.00009251386,0.0002401099,0.0002166456,0.6102921,0.2645888,0.04266452,0.002229945,0.07781213],"study_design_scores_gemma":[0.00004520755,0.0002427671,0.0004859732,0.000009773686,0.00002944445,0.0001265941,0.0000270952,0.9354181,0.05030873,0.009657825,0.003617368,0.0000310961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09671959,0.0003246438,0.8904001,0.0002801016,0.00002708247,0.00006151196,0.0001332995,0.000530975,0.01152267],"genre_scores_gemma":[0.6093497,0.0004544527,0.382412,0.00015262,0.00002646435,0.0001652847,0.0002741381,0.0003815352,0.006783816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001349076,"threshold_uncertainty_score":0.004513085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02922897334442209,"score_gpt":0.2973002025016509,"score_spread":0.2680712291572288,"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."}}