{"id":"W4392349009","doi":"10.18280/ts.410120","title":"Enhancing Emotion Recognition in College Students' Online Learning: A Research on Integrating Feature Fusion and Attention Mechanisms","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Psychology; Fusion; Online learning; Emotion recognition; Computer science; Cognitive psychology; Artificial intelligence; Mathematics education; Multimedia; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001618652,0.0001041514,0.00009537207,0.0005544835,0.0002106266,0.0001344605,0.000225511,0.0001247598,0.00005121929],"category_scores_gemma":[0.00005739475,0.00009598261,0.00002655386,0.000634119,0.00003021861,0.0002649605,0.000113167,0.0007169088,0.00002947097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001243063,"about_ca_system_score_gemma":0.00005837176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000195652,"about_ca_topic_score_gemma":0.0001141283,"domain_scores_codex":[0.9984834,0.0002669533,0.0001949303,0.000405465,0.0004370191,0.0002122361],"domain_scores_gemma":[0.9994941,0.0002534821,0.00003513988,0.00009166468,0.00008760766,0.00003794549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001085554,0.001322771,0.003559009,0.0002760548,0.00006452938,0.0001375287,0.008299985,0.0001120124,0.2593448,0.3754453,0.0009688435,0.3503606],"study_design_scores_gemma":[0.004160519,0.008012398,0.275901,0.009010355,0.00006424893,0.0002953534,0.03799394,0.2445799,0.05138807,0.3617886,0.005220338,0.001585255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244344,0.0001109706,0.07082459,0.003855548,0.0002388642,0.0002678358,0.000006055519,0.0001421707,0.0001195858],"genre_scores_gemma":[0.9915357,0.00004560702,0.00766979,0.00008420309,0.00009816011,0.000040041,0.00006000277,0.000007664841,0.0004588942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3487754,"threshold_uncertainty_score":0.3914057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06445710229206676,"score_gpt":0.3799967439036238,"score_spread":0.3155396416115571,"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."}}