{"id":"W2086267010","doi":"10.1016/j.jmr.2009.12.002","title":"Field strength dependence of PRESS timings for simultaneous detection of glutamate and glutamine from 1.5 to 7T","year":2009,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Glutamine; Metabolite; Nuclear magnetic resonance; Glutamate receptor; Yield (engineering); Field strength; Relaxation (psychology); Field (mathematics); Chemistry; Analytical Chemistry (journal); SIGNAL (programming language); Echo (communications protocol); Biological system; Magnetic field; Physics; Computer science; Biochemistry; Amino acid; Mathematics; Thermodynamics; Chromatography; Biology; Neuroscience; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00008289165,0.00007265732,0.000252874,0.00004571709,0.00001781115,0.000003652347,0.00007991691,0.00005157901,0.000008485888],"category_scores_gemma":[0.0003326263,0.00006065223,0.00004919977,0.00007212217,0.00002345032,0.00003968283,0.00001267877,0.00009342661,1.127619e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001260383,"about_ca_system_score_gemma":0.0000176938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002365167,"about_ca_topic_score_gemma":0.000005264159,"domain_scores_codex":[0.9992622,0.000006766431,0.0003863,0.00009995592,0.0001537957,0.00009097774],"domain_scores_gemma":[0.9990311,0.0002652677,0.0002774681,0.0001360175,0.0002205133,0.00006967747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007978129,0.00009320079,0.0000681987,0.00003293729,0.000002945999,0.000008315788,0.0001021169,0.0001183029,0.2504772,0.0000556017,0.00009835669,0.748145],"study_design_scores_gemma":[0.0017551,0.01150739,0.01212582,0.0007200598,0.0001401601,0.0001597746,0.00007436404,0.007034106,0.9352967,0.002977954,0.02806784,0.000140718],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8662836,0.005697766,0.1266866,0.0008011572,0.0000248618,0.0003796154,0.00002620061,0.000009128424,0.00009107029],"genre_scores_gemma":[0.897021,0.0009479993,0.1016876,0.0001207824,0.00005619234,0.000005026264,4.7852e-7,0.000005641538,0.0001552438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7480043,"threshold_uncertainty_score":0.2473326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053261000518033,"score_gpt":0.2883245280584269,"score_spread":0.2777919180532465,"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."}}