{"id":"W4392348399","doi":"10.1093/cercor/bhae046","title":"The developmental trajectory of 1H-MRS brain metabolites from childhood to adulthood","year":2024,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Biomedical Imaging and Bioengineering; Medical Research Council; King's College London; Canada First Research Excellence Fund; Canada Research Chairs; McGill University; National Institutes of Health; Action Medical Research; Natural Sciences and Engineering Research Council of Canada; Medical Research Council Centre for Neurodevelopmental Disorders; Johns Hopkins University","keywords":"Glutamate receptor; Brain development; Choline; Neuroscience; Creatine; Glutamine; Psychology; Human brain; Internal medicine; Biology; Medicine; Receptor; Biochemistry; Amino acid","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":[0.00007953731,0.0001219602,0.0001845591,0.00005217406,0.00008717897,0.00001996263,0.0001288072,0.00004989256,0.0001243585],"category_scores_gemma":[0.00006446896,0.000082012,0.00009400655,0.000267012,0.00005596462,0.0000483174,0.00005330027,0.0001663141,0.00006482955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004440868,"about_ca_system_score_gemma":0.0001356554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003048796,"about_ca_topic_score_gemma":0.00002046003,"domain_scores_codex":[0.9991537,0.00001349621,0.00024149,0.0002514088,0.0001587528,0.000181199],"domain_scores_gemma":[0.9994475,0.000138923,0.00003234306,0.0002254163,0.00004149289,0.0001142742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001397993,0.0003822745,0.005467024,0.00009538196,0.0002989316,0.00002606305,0.004776398,0.000006519882,0.3350734,0.05103395,0.04546634,0.5572339],"study_design_scores_gemma":[0.0008064872,0.0003091824,0.4397136,0.0004252475,0.0001996163,0.00005798121,0.002796994,0.0001666016,0.1709327,0.01171241,0.372456,0.0004231913],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701875,0.003417425,0.01427045,0.006668499,0.0001783718,0.0009782823,0.0001733134,0.0003915233,0.0037346],"genre_scores_gemma":[0.9615587,0.0000918145,0.03632574,0.0009173803,0.0001557265,0.0001041655,0.00006447901,0.00002949588,0.0007525292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5568107,"threshold_uncertainty_score":0.3344352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105352939481002,"score_gpt":0.2846017013661906,"score_spread":0.2735481719713805,"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."}}