{"id":"W4290839372","doi":"10.1038/s41398-022-02064-z","title":"Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis","year":2022,"lang":"en","type":"review","venue":"Translational Psychiatry","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Major depressive disorder; Meta-analysis; Subgroup analysis; Medicine; Area under the curve; Internal medicine; Psychiatry; Mood","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008456174,0.0007524609,0.002782018,0.001368664,0.0009255731,0.00006938625,0.0003760733,0.0001857322,0.001737487],"category_scores_gemma":[0.001366407,0.0006317083,0.003686795,0.002803863,0.00009283973,0.0002035902,0.00008784806,0.0008971706,0.00002013136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003129825,"about_ca_system_score_gemma":0.0006985851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003416368,"about_ca_topic_score_gemma":0.001396608,"domain_scores_codex":[0.9928583,0.003280804,0.001043797,0.001479594,0.0008913639,0.0004461614],"domain_scores_gemma":[0.9834887,0.01532819,0.0006280764,0.0004462495,0.00002368721,0.0000851164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003928529,0.00469693,0.04598398,0.008984225,0.4002112,0.0003362853,0.003550682,0.3760931,0.00004079534,0.003990176,0.0001396501,0.1520445],"study_design_scores_gemma":[0.001125964,0.0002103865,0.0003686696,0.0001468925,0.2343899,0.00007976805,0.00007132456,0.007355999,7.914006e-7,0.0004984912,0.7548546,0.0008971517],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003358874,0.9950143,0.0003224019,0.001320509,0.000425979,0.001135706,0.001025038,0.0001211094,0.0002990959],"genre_scores_gemma":[0.001903503,0.9938571,0.00138307,0.0003697453,0.0001679858,0.001211295,0.0002869741,0.0001682198,0.0006521373],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.754715,"threshold_uncertainty_score":0.9996134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1615858547259256,"score_gpt":0.3685057317966288,"score_spread":0.2069198770707031,"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."}}