{"id":"W7090315417","doi":"10.1142/9789819818525_0010","title":"Multimodal Information Fusion of Audio Emotion Recognition Based on Kernel Entropy Component Analysis","year":2025,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pattern recognition (psychology); Component (thermodynamics); Information fusion; Entropy (arrow of time); Fusion; Emotion recognition; Kernel (algebra)","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":[0.0004874711,0.0005540546,0.000621426,0.0007073571,0.0002116429,0.0006452306,0.0004228328,0.0003775364,0.00358543],"category_scores_gemma":[0.0008691463,0.0001882896,0.0007369691,0.0008000809,0.0002314003,0.001126447,0.0007160089,0.0005697148,0.001252883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002205422,"about_ca_system_score_gemma":0.0002142382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007494171,"about_ca_topic_score_gemma":0.001170269,"domain_scores_codex":[0.9997116,0.00005479534,0.00001650462,0.00006963792,0.0001170905,0.00003042792],"domain_scores_gemma":[0.9997457,0.0000834247,0.00001486971,0.00002837879,0.0001163915,0.00001119519],"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":[0.0003839376,0.0001085951,0.0005747028,0.000131206,0.0001001636,0.00006667403,0.00009708186,0.02051692,0.1028362,0.004674999,0.003970063,0.8665395],"study_design_scores_gemma":[0.00001090191,0.0001443019,0.004151443,0.00002574913,0.0001191286,0.0001327652,0.00006344227,0.9272832,0.05782446,0.005217296,0.004975948,0.00005146063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02585037,0.001104948,0.9687288,0.00012094,0.0001590891,0.00004139936,0.0001368385,0.0008559683,0.003001694],"genre_scores_gemma":[0.4935944,0.001433954,0.4916945,0.0001371723,0.0002326079,0.0001579114,0.0008227811,0.0002639032,0.01166283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00358543,"threshold_uncertainty_score":0.01199448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773739649784413,"score_gpt":0.2681927405303673,"score_spread":0.2404553440325232,"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."}}