{"id":"W2885696377","doi":"10.1016/j.jad.2018.08.058","title":"Differentiating responders and non-responders to rTMS treatment for depression after one week using resting EEG connectivity measures","year":2018,"lang":"en","type":"article","venue":"Journal of Affective Disorders","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Electroencephalography; Transcranial magnetic stimulation; Depression (economics); Alpha (finance); Mood; Psychology; Audiology; Resting state fMRI; Medicine; Internal medicine; Stimulation; Neuroscience; Psychiatry; Clinical psychology; Psychometrics","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":[0.0004020057,0.0002430583,0.0003903437,0.0003382108,0.0004469448,0.00007600684,0.0001053894,0.00006358835,0.00001089492],"category_scores_gemma":[0.003282411,0.0002012044,0.0001386142,0.0003300366,0.0002138308,0.0002565486,0.00004732065,0.0001205486,0.000001281241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551363,"about_ca_system_score_gemma":0.00006623582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000971543,"about_ca_topic_score_gemma":0.0003954469,"domain_scores_codex":[0.9982545,0.0003100417,0.0003484851,0.0003812686,0.0003762732,0.0003294243],"domain_scores_gemma":[0.9968978,0.002294122,0.0002969979,0.0001313381,0.0002376512,0.0001420906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00628321,0.0002964135,0.02201126,0.0000275031,0.00007991171,0.000005188778,0.005463643,0.0006865856,0.9218031,0.00001061061,0.00001654596,0.04331599],"study_design_scores_gemma":[0.008691559,0.006998319,0.9095951,0.0003978109,0.0002867632,0.00002802421,0.001895212,0.005567693,0.06466801,0.001262521,0.0001348352,0.0004741154],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9144708,0.0001205703,0.08393518,0.0003106758,0.000303289,0.0007357665,0.00001161221,0.00001832217,0.00009381576],"genre_scores_gemma":[0.9969287,0.0000236919,0.002705317,0.0001475653,0.0001190778,0.00002894626,1.190642e-7,0.00003280625,0.0000137781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8875839,"threshold_uncertainty_score":0.8204878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06860812524761267,"score_gpt":0.3316047665216104,"score_spread":0.2629966412739977,"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."}}