{"id":"W3003953083","doi":"10.1002/nbm.4245","title":"In vivo Glx and Glu measurements from GABA‐edited MRS at 3 T","year":2020,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Electric (Canada); Alberta Children's Hospital; University of Calgary","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Anterior cingulate cortex; Glutamate receptor; Glutamine; Chemistry; In vivo; Cortex (anatomy); Nuclear magnetic resonance; Neuroscience; Biochemistry; Psychology; Biology; Amino acid; Receptor; Physics","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":[0.0007974177,0.0005375919,0.0003971256,0.0004452165,0.0002136405,0.0005292883,0.0003284627,0.0008376844,0.001471632],"category_scores_gemma":[0.001354655,0.0003442378,0.0002282006,0.0002861169,0.0004421917,0.0004681011,0.0003906847,0.0005012407,0.0002236101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197675,"about_ca_system_score_gemma":0.0002067033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007048005,"about_ca_topic_score_gemma":0.001793805,"domain_scores_codex":[0.9998049,0.000064841,0.00001420965,0.00004721527,0.0000450377,0.00002378906],"domain_scores_gemma":[0.9997013,0.000111785,0.00005782963,0.00004091629,0.00006629941,0.00002192668],"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":[0.001150179,0.00003918355,0.003484695,0.0001583124,0.00009155277,0.0004026598,0.0002988278,0.0007309261,0.9784083,0.0001557144,0.0002437552,0.01483586],"study_design_scores_gemma":[0.0002313494,0.002372602,0.2132699,0.00004489945,0.0006755858,0.0067441,0.0006178755,0.01822913,0.7534226,0.001746866,0.002506274,0.0001389508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655976,0.0005532401,0.03204168,0.0001044114,0.00001815626,0.00003146439,0.0002328187,0.0002821221,0.001138436],"genre_scores_gemma":[0.9621157,0.0007268229,0.0350748,0.0001736924,0.00002895025,0.00008215342,0.0003903456,0.0001550138,0.001252559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001471632,"threshold_uncertainty_score":0.004923105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05639324925188748,"score_gpt":0.3374722560066873,"score_spread":0.2810790067547998,"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."}}