{"id":"W4401818405","doi":"10.1002/9781119847717.ch18","title":"Human Emotion Recognition Intelligence System Using Machine Learning","year":2024,"lang":"en","type":"other","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Emotion recognition; Artificial intelligence; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007038098,0.0006283224,0.0005973718,0.0007858741,0.0003386154,0.001036534,0.000713493,0.0004312379,0.007767252],"category_scores_gemma":[0.0011679,0.000139526,0.0004747522,0.0005031404,0.000159278,0.0007064894,0.0004913641,0.0004638346,0.00415317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004355562,"about_ca_system_score_gemma":0.0003908926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001623133,"about_ca_topic_score_gemma":0.001336648,"domain_scores_codex":[0.9995814,0.00005723614,0.00004304503,0.0001386207,0.0001410362,0.0000386316],"domain_scores_gemma":[0.99966,0.00005991038,0.00002763237,0.00004927478,0.0001838414,0.00001925167],"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":[0.000322784,0.0003472806,0.003854653,0.0002610285,0.000146756,0.0002079309,0.0001839517,0.009972721,0.0409492,0.003485053,0.02692287,0.9133458],"study_design_scores_gemma":[0.00008265261,0.0004979335,0.01200006,0.00009352111,0.000174628,0.0004970885,0.0002172288,0.8334792,0.08621456,0.008183421,0.05846935,0.00009041688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03900039,0.0007138138,0.9046671,0.000626023,0.000357987,0.001057037,0.001455914,0.02709186,0.0250299],"genre_scores_gemma":[0.497328,0.0008794582,0.4576038,0.0008545195,0.0002156679,0.001189572,0.004010715,0.000380218,0.03753804],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007767252,"threshold_uncertainty_score":0.02598405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09841417128523967,"score_gpt":0.3608707069305115,"score_spread":0.2624565356452718,"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."}}