{"id":"W4298009706","doi":"10.18280/ts.390426","title":"Recognition of Student Emotions in Classroom Learning Based on Image Processing","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sadness; Psychology; Pooling; Process (computing); Enthusiasm; Computer science; Mathematics education; Artificial intelligence; Cognitive psychology; Anger; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003574832,0.0004692553,0.0004161905,0.0004629969,0.000151672,0.0005027724,0.0003887641,0.0004549133,0.0008684178],"category_scores_gemma":[0.0007287203,0.0001437622,0.0005799411,0.0002641348,0.0002559627,0.0006447226,0.0003014989,0.0004894753,0.000353915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000304794,"about_ca_system_score_gemma":0.0001852427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163039,"about_ca_topic_score_gemma":0.001249993,"domain_scores_codex":[0.9997825,0.00004069976,0.000009664985,0.0000785495,0.00005341079,0.00003517648],"domain_scores_gemma":[0.9997982,0.00007866904,0.00002685505,0.00002219966,0.00005359143,0.00002041235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006598149,0.0004311029,0.01618018,0.0001948607,0.0001458584,0.000377486,0.0005688603,0.08185228,0.1698484,0.002512968,0.00175032,0.7254779],"study_design_scores_gemma":[0.00001023211,0.0002320973,0.01449299,0.00001035166,0.0000603851,0.0001431839,0.0001195236,0.9429381,0.03986697,0.001457949,0.0006454864,0.00002267514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.398518,0.0003277433,0.5960708,0.000266716,0.00007828868,0.0001089749,0.00009501984,0.001171385,0.003363042],"genre_scores_gemma":[0.9509616,0.0001859778,0.04728336,0.00004560618,0.00002599233,0.00004911543,0.00007164542,0.00003011606,0.001346679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001163039,"threshold_uncertainty_score":0.00290513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04327257516106468,"score_gpt":0.313084921380358,"score_spread":0.2698123462192933,"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."}}