{"id":"W7117809005","doi":"10.18280/ts.420643","title":"Emotion Detection from EEG Using Advanced Deep Neural Architectures: LSTM, GRU, and DNN Approaches","year":2025,"lang":"","type":"article","venue":"Traitement du signal","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Electroencephalography; Deep neural networks; Emotion detection; Pattern recognition (psychology); Artificial neural network","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":[0.0003120426,0.0007569343,0.0003443684,0.0003921677,0.000118947,0.0004529775,0.0003605227,0.0004024837,0.001667147],"category_scores_gemma":[0.0007910919,0.0001284284,0.0003244773,0.0005440227,0.0001239191,0.0004868797,0.0003035198,0.0007780912,0.0006697011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802838,"about_ca_system_score_gemma":0.0001743828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001862117,"about_ca_topic_score_gemma":0.003566421,"domain_scores_codex":[0.9998888,0.00002301308,0.000005689795,0.00003648784,0.00002479483,0.00002120479],"domain_scores_gemma":[0.9998888,0.00003782495,0.0000145799,0.00001182017,0.0000389777,0.000008013979],"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":[0.0004149862,0.0001675957,0.004001043,0.0002728219,0.0001342567,0.0001222078,0.00008727732,0.023218,0.1492003,0.002707155,0.004970698,0.8147038],"study_design_scores_gemma":[0.00002337483,0.0001631724,0.01912989,0.00006853622,0.00009958752,0.0002114889,0.00006749272,0.918049,0.05119571,0.007655207,0.003299536,0.0000369159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1414862,0.003228307,0.8453653,0.0005712174,0.0003916044,0.00008375506,0.0009452853,0.002419801,0.005508558],"genre_scores_gemma":[0.8038149,0.001944664,0.1865655,0.0001910742,0.0002208246,0.00006708743,0.0008152821,0.0001251191,0.006255524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001862117,"threshold_uncertainty_score":0.005577147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04521216348264807,"score_gpt":0.2850683130331921,"score_spread":0.239856149550544,"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."}}