{"id":"W4200073432","doi":"10.1109/embc46164.2021.9630821","title":"Feature Extraction to Identify Depression and Anxiety Based on EEG","year":2021,"lang":"en","type":"article","venue":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Anxiety; Electroencephalography; Mood; Correlation; Neurophysiology; Depression (economics); Cognition; Alpha (finance)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002947629,0.0005419486,0.0005210611,0.001623439,0.0001373985,0.0004943796,0.0001815881,0.0002708854,0.001291064],"category_scores_gemma":[0.001250706,0.00009292928,0.0005059431,0.0009903923,0.0000888889,0.0002771655,0.0001914269,0.000206329,0.0005442477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196362,"about_ca_system_score_gemma":0.0001761019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064202,"about_ca_topic_score_gemma":0.001018927,"domain_scores_codex":[0.9998504,0.00002163124,0.00002050064,0.00003297269,0.00004548335,0.00002899564],"domain_scores_gemma":[0.9997448,0.000106161,0.00003636248,0.00001835044,0.00008352087,0.00001077705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005417042,0.0001844132,0.0308958,0.0002913043,0.0001363456,0.0005222288,0.0001262868,0.00358514,0.1268062,0.0006162914,0.004453843,0.8318405],"study_design_scores_gemma":[0.0001623872,0.001323364,0.6906157,0.0001679135,0.0005226862,0.004119754,0.0005762008,0.2056092,0.07677525,0.00396234,0.01602269,0.0001424437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6709185,0.002743516,0.3144289,0.00041119,0.0002369054,0.0004144241,0.004376859,0.001986399,0.004483261],"genre_scores_gemma":[0.8889116,0.000983673,0.1040123,0.00005782933,0.0001490687,0.0002480149,0.004092906,0.00005604476,0.001488492],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001623439,"threshold_uncertainty_score":0.004319072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03808133477741815,"score_gpt":0.3408878259448126,"score_spread":0.3028064911673944,"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."}}