{"id":"W2984970638","doi":"10.1002/mrm.28054","title":"Radiofrequency excitation–related <sup>23</sup>Na MRI signal loss in skeletal muscle, cartilage, and skin","year":2019,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Cartilage; Flip angle; Nuclear magnetic resonance; Chemistry; Magnetic resonance imaging; Skeletal muscle; Nuclear medicine; Materials science; Anatomy; Medicine; Physics; Radiology","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":[0.0005202197,0.0003008466,0.0002545645,0.0001532394,0.0001320158,0.0002195078,0.000192818,0.0004188312,0.001408491],"category_scores_gemma":[0.001042239,0.0002350623,0.0001341867,0.00009153815,0.0005658096,0.0002700424,0.0001910753,0.0002259276,0.000341723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000165302,"about_ca_system_score_gemma":0.0001052691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004080282,"about_ca_topic_score_gemma":0.0004663959,"domain_scores_codex":[0.9998073,0.0000731254,0.00001038737,0.00003474499,0.0000509799,0.00002349551],"domain_scores_gemma":[0.9994872,0.0001734077,0.0001660735,0.00005631392,0.00007775999,0.00003918955],"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":[0.001441393,0.00003008445,0.004321474,0.00008105662,0.00002297189,0.0002096238,0.00007969606,0.0003337174,0.9875572,0.00001696,0.00003668182,0.00586918],"study_design_scores_gemma":[0.00008225518,0.00608819,0.1998186,0.00002070491,0.0001193459,0.004623177,0.0002666405,0.003981201,0.784093,0.0001356889,0.0007474767,0.00002372358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968739,0.0003431701,0.002393874,0.00002367399,0.000003410463,0.00001720558,0.00002588626,0.00003212451,0.00028672],"genre_scores_gemma":[0.9975925,0.000154296,0.001680013,0.00006024103,0.000005147631,0.00002177055,0.00004748463,0.00001912692,0.0004194289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001408491,"threshold_uncertainty_score":0.004711866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008657318526813213,"score_gpt":0.2754014122773349,"score_spread":0.2667440937505217,"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."}}