{"id":"W3203289702","doi":"10.1038/s41380-021-01297-6","title":"Glutamatergic and GABAergic metabolite levels in schizophrenia-spectrum disorders: a meta-analysis of 1H-magnetic resonance spectroscopy studies","year":2021,"lang":"en","type":"review","venue":"Molecular Psychiatry","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":164,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of Mental Health; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Foundation for the National Institutes of Health","keywords":"Metabolite; Schizophrenia (object-oriented programming); Internal medicine; Psychosis; Glutamatergic; GABAergic; Psychology; Medicine; Antipsychotic; Glutamate receptor; Psychiatry; Endocrinology; Receptor","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002871163,0.0006577196,0.006247707,0.0008578677,0.00005642149,0.00002259886,0.0002320649,0.0002246773,0.00009166221],"category_scores_gemma":[0.00004241724,0.0005172266,0.002536412,0.002913991,0.0001890353,0.00004178585,0.0001764426,0.0005273667,0.000003002315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006150536,"about_ca_system_score_gemma":0.0002471823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002349248,"about_ca_topic_score_gemma":0.0001201446,"domain_scores_codex":[0.996776,0.0002098853,0.001270827,0.0009994172,0.0003455495,0.000398351],"domain_scores_gemma":[0.9979988,0.00007709568,0.0005191648,0.001230824,0.00006001908,0.0001140763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0001778581,0.003259622,0.000302109,0.04742151,0.2950077,0.0004694062,0.0004524836,0.0001441884,0.0003327172,0.207393,0.0005206186,0.4445188],"study_design_scores_gemma":[0.0008378553,0.0002581613,0.000215519,0.00301312,0.5977642,0.00007894872,0.00007701287,0.00002861689,0.0001227001,0.01045788,0.386283,0.000862941],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001387417,0.9943391,0.002951629,0.0009290914,0.00006634897,0.001175171,0.0002247726,0.00006140427,0.0001137482],"genre_scores_gemma":[0.0001708013,0.9278398,0.07083611,0.0001469925,0.00003404736,0.0006337477,0.0001099169,0.0000817251,0.000146856],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4436558,"threshold_uncertainty_score":0.9997279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07139162874723107,"score_gpt":0.4057965354859376,"score_spread":0.3344049067387065,"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."}}