{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002377823,0.0001625954,0.0002994054,0.0001650041,0.00008106628,0.00000417529,0.00008474123,0.00005987631,0.0008260102],"category_scores_gemma":[0.00005989745,0.0001386747,0.00003331895,0.0004187884,0.0005003993,0.00006347424,0.00002227085,0.0002365033,0.00002341169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106598,"about_ca_system_score_gemma":0.00004945365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003903719,"about_ca_topic_score_gemma":0.000003278428,"domain_scores_codex":[0.998715,0.00003042066,0.0004209679,0.0003399655,0.0002273261,0.0002663298],"domain_scores_gemma":[0.9992987,0.0000676545,0.00008204441,0.0003502222,0.000101761,0.00009962677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001382104,0.001234001,0.04543836,0.0002184201,0.00001049537,0.00164016,0.002461726,0.02799126,0.07361341,0.03219271,0.08090549,0.7329119],"study_design_scores_gemma":[0.01333287,0.001499044,0.3875327,0.00184551,0.00007885794,0.002201184,0.001504473,0.1189378,0.003205447,0.009429879,0.4595147,0.0009175122],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06665446,0.02515783,0.8398497,0.03644326,0.0002665404,0.002041403,0.000007653341,0.0004333092,0.0291459],"genre_scores_gemma":[0.8406122,0.0193418,0.1319317,0.003910446,0.0005463912,0.0002362075,0.00009248179,0.00006079386,0.003267939],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7739578,"threshold_uncertainty_score":0.9044232,"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."}}