{"id":"W4408408704","doi":"10.55041/ijsrem42333","title":"Metaheuristically Enabled System for Emotion Recognition using BiLSTM","year":2025,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Emotion recognition; Psychology; Artificial intelligence","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":[0.0004975036,0.0007854833,0.0005044566,0.0004903584,0.0002864799,0.0005846251,0.0009636809,0.0006699258,0.001739099],"category_scores_gemma":[0.0009401849,0.00021746,0.0005095274,0.0003442493,0.0002172484,0.0005797081,0.0006929358,0.0007299581,0.0006381426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006673507,"about_ca_system_score_gemma":0.0004829169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488808,"about_ca_topic_score_gemma":0.005059149,"domain_scores_codex":[0.9998585,0.00002316824,0.00001005137,0.00004690015,0.00003423254,0.0000271605],"domain_scores_gemma":[0.9998405,0.00004037302,0.00002236629,0.00001985932,0.00006339602,0.00001342568],"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":[0.0004075861,0.00046487,0.004088968,0.000162153,0.0002236054,0.0001951909,0.0001245439,0.4249455,0.04585994,0.002783424,0.004909865,0.5158343],"study_design_scores_gemma":[0.000005728061,0.00003749266,0.0002101705,0.000002627605,0.000007249792,0.00001252802,0.000007288794,0.9963026,0.002695047,0.0004459045,0.0002696296,0.00000368469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1355915,0.0005496785,0.8541292,0.0002716022,0.0001545276,0.0001328452,0.000322332,0.005030022,0.003818284],"genre_scores_gemma":[0.7932549,0.0001334567,0.2027044,0.0002076736,0.00002843963,0.0002069705,0.0006402288,0.0000790034,0.002744933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003488808,"threshold_uncertainty_score":0.006937027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05287926218023552,"score_gpt":0.3175000406868003,"score_spread":0.2646207785065648,"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."}}