{"id":"W7116690767","doi":"10.1016/j.imu.2025.101728","title":"Evaluating cultural impact on subject-independent EEG-based emotion recognition approaches","year":2025,"lang":"en","type":"article","venue":"Informatics in Medicine Unlocked","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"German; Electroencephalography; Emotional expression; Multinomial logistic regression; Deep learning; Emotion classification; Emotion recognition","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004456206,0.001219853,0.0005023705,0.0005747527,0.0003358643,0.0008787321,0.0004628883,0.0005090216,0.001155635],"category_scores_gemma":[0.009494777,0.0001646402,0.0006721325,0.0004170652,0.0004587931,0.0006459767,0.001025404,0.0006309169,0.0005819427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003134798,"about_ca_system_score_gemma":0.0004154365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004639177,"about_ca_topic_score_gemma":0.005415711,"domain_scores_codex":[0.9982383,0.0009478248,0.0001257269,0.0003278401,0.0002288429,0.0001313426],"domain_scores_gemma":[0.9960909,0.001822763,0.0003139665,0.0005358827,0.001026839,0.0002095161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004747069,0.0009649803,0.4858827,0.0005723543,0.001865749,0.0007024299,0.002761628,0.04845872,0.0365963,0.001224619,0.003335422,0.412888],"study_design_scores_gemma":[0.0002464078,0.003125201,0.4644756,0.0001981331,0.001551735,0.000983573,0.003903215,0.4780152,0.03880434,0.0030514,0.005464912,0.0001802431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737564,0.0006337595,0.02186654,0.0001851378,0.0001174766,0.0001294059,0.0003523761,0.0001621887,0.002796567],"genre_scores_gemma":[0.9873692,0.0002410091,0.01025449,0.0001170436,0.00004905853,0.000119628,0.0007011297,0.00003592123,0.001112379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004639177,"threshold_uncertainty_score":0.02356696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1669175924799111,"score_gpt":0.4292518820316387,"score_spread":0.2623342895517277,"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."}}