{"id":"W4395046831","doi":"10.32388/cqxhf7","title":"Review of: \"EEG-based Emotion Classification using Deep Learning: Approaches, Trends and Bibliometrics\"","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Bibliometrics; Electroencephalography; Artificial intelligence; Computer science; Psychology; Data mining; Neuroscience","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":[0.01085662,0.0007866278,0.001899038,0.01622238,0.001077173,0.004829261,0.002090575,0.002046764,0.01958673],"category_scores_gemma":[0.07460274,0.0003376012,0.0009486105,0.01532103,0.001198963,0.004522681,0.002207379,0.001965673,0.01184025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002251849,"about_ca_system_score_gemma":0.01134145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004000512,"about_ca_topic_score_gemma":0.008429107,"domain_scores_codex":[0.9941773,0.001163597,0.0009588168,0.0004823683,0.002984415,0.0002334963],"domain_scores_gemma":[0.9051625,0.02534937,0.004469756,0.001464193,0.06132185,0.002232271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009325158,0.0000343179,0.0004964137,0.009271438,0.0001087015,0.00004257772,0.00006562319,0.00009066379,0.0002613572,0.001367243,0.7197024,0.268466],"study_design_scores_gemma":[0.00002980254,0.00006760292,0.002911072,0.009769119,0.0002982761,0.0002034324,0.0001449248,0.0001994372,0.0005275764,0.00138778,0.9844201,0.0000408946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.001410897,0.7478802,0.003498334,0.1576267,0.06697811,0.0002851068,0.004790693,0.0003337742,0.01719623],"genre_scores_gemma":[0.01147535,0.8679298,0.003441263,0.03645352,0.04893009,0.0002519308,0.005414905,0.0002933722,0.02580972],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01958673,"threshold_uncertainty_score":0.06552416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2510871334798913,"score_gpt":0.3756872117642284,"score_spread":0.1246000782843371,"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."}}