{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001063197,0.0001302834,0.0002956353,0.0001281333,0.0000239669,0.000002811998,0.00006955942,0.00008919741,0.0003398232],"category_scores_gemma":[0.00008761817,0.000108937,0.00002039147,0.0005432027,0.0001053446,0.00004762928,0.00006459131,0.0001630959,0.00001662898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170183,"about_ca_system_score_gemma":0.00001932139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002330868,"about_ca_topic_score_gemma":0.0001031565,"domain_scores_codex":[0.9989311,0.0000131246,0.0003018301,0.0003154784,0.0002506925,0.0001878372],"domain_scores_gemma":[0.9994924,0.00003909259,0.00005676237,0.0001869274,0.00003382151,0.0001910129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000338415,0.0002015982,0.07507406,0.00006949757,0.000015513,0.0001228523,0.0008761849,0.000004596838,0.886052,0.00007802853,0.03185378,0.005313452],"study_design_scores_gemma":[0.01608113,0.001215704,0.1331693,0.001020072,0.0001372628,0.00004835007,0.0006475027,0.002826035,0.1447709,0.001923763,0.6975704,0.0005896406],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263595,0.001320792,0.003937225,0.06351499,0.0001003838,0.00111699,0.00009883769,0.0001792311,0.003372092],"genre_scores_gemma":[0.981551,0.0004190221,0.009904861,0.007327048,0.000339507,0.00007735337,0.00008066893,0.00002535362,0.0002751955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7412812,"threshold_uncertainty_score":0.4442324,"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."}}