{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002401394,0.0002749388,0.0002627645,0.0006091897,0.0000692672,0.00005862868,0.00008759441,0.0005190184,0.0471545],"category_scores_gemma":[0.000009404796,0.0002608896,0.000132614,0.0002018708,0.00003586012,0.00003093415,0.00003394459,0.0005392315,0.02690332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010015,"about_ca_system_score_gemma":0.000009779495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001601561,"about_ca_topic_score_gemma":0.0002618899,"domain_scores_codex":[0.9985406,0.0002266334,0.0003279937,0.0005213762,0.0001554825,0.0002279397],"domain_scores_gemma":[0.9994672,0.000009997544,0.000214531,0.0001985533,0.00004167468,0.00006806978],"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":[0.00003395112,0.000452396,0.00009915701,0.004773765,0.001275631,0.0003214948,0.002104003,0.00001254021,0.001087041,0.03073054,0.716853,0.2422565],"study_design_scores_gemma":[0.001148493,0.000720189,0.0000554418,0.01790336,0.001596868,0.001294871,0.01243485,0.005479578,0.0007573796,0.003926497,0.9514995,0.003182978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001683555,0.0009164806,0.01572675,0.00001876467,0.003517168,0.0003635245,0.00004578009,0.001714724,0.9775285],"genre_scores_gemma":[0.01902189,0.00002976467,0.0007642402,0.00005416242,0.0009731639,0.00002192877,0.0005248096,0.0006326896,0.9779773],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2390735,"threshold_uncertainty_score":0.9999843,"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."}}