{"id":"W4402464118","doi":"10.11159/icbes24.148","title":"Spectral EEG Microstates for Detection of Mental Disorder","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa e Inovação do Espírito Santo; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Electroencephalography; Computer science; Artificial intelligence; Pattern recognition (psychology); Psychology; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000296316,0.0004004469,0.0002699062,0.001983633,0.0001855878,0.0003774189,0.0002020069,0.0002946502,0.001868295],"category_scores_gemma":[0.001206552,0.00009325454,0.0002462988,0.0008582274,0.0001844352,0.0003951871,0.0003824137,0.0002814834,0.0006862166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271857,"about_ca_system_score_gemma":0.0001891432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005957888,"about_ca_topic_score_gemma":0.001082813,"domain_scores_codex":[0.9997913,0.00005537713,0.0000145725,0.00005005317,0.00006787142,0.00002095644],"domain_scores_gemma":[0.9995517,0.0001922732,0.00006234529,0.0000484643,0.000115622,0.00002967982],"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":[0.001013555,0.0001531297,0.02083597,0.0003299357,0.0001278775,0.0002602234,0.0002446324,0.00555353,0.2709828,0.002306035,0.002058082,0.6961341],"study_design_scores_gemma":[0.0001025749,0.0010566,0.363552,0.0001324792,0.0002675811,0.003625806,0.0007910792,0.4230093,0.1838748,0.009387913,0.01402767,0.0001721019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.422881,0.002085653,0.5647631,0.0004081578,0.0001103941,0.0002178489,0.001493281,0.002062017,0.005978553],"genre_scores_gemma":[0.8003257,0.0007745486,0.1963094,0.00006112578,0.00009992618,0.0001284721,0.0009306299,0.00008975915,0.001280439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001983633,"threshold_uncertainty_score":0.006250083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007484922211061423,"score_gpt":0.2222003076006266,"score_spread":0.2147153853895652,"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."}}