{"id":"W4400041696","doi":"10.18280/ts.410309","title":"Enhancing Online Teaching Effectiveness Through Computer Vision Analysis of Teacher Expressions and Gestures in Educational Videos","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gesture; Computer science; Multimedia; Human–computer interaction; Mathematics education; Artificial intelligence; 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":[0.0003657471,0.0002961499,0.0002398812,0.001017978,0.000105201,0.0005064775,0.0001997929,0.0002474262,0.001451329],"category_scores_gemma":[0.001767796,0.00007219745,0.0001732203,0.000293805,0.0001262186,0.0004761095,0.000220164,0.0001852777,0.000351836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569659,"about_ca_system_score_gemma":0.000175281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336361,"about_ca_topic_score_gemma":0.002119853,"domain_scores_codex":[0.9997286,0.00006715931,0.00001248856,0.000061919,0.00008906969,0.00004071274],"domain_scores_gemma":[0.9995104,0.0002544491,0.00007700155,0.00002357629,0.00009703258,0.00003760423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000303373,0.0003510336,0.009831053,0.0002016643,0.00003190544,0.00008478511,0.000286818,0.003507251,0.1848745,0.0003664909,0.000909474,0.7992515],"study_design_scores_gemma":[0.00009074264,0.001816333,0.3327277,0.0001073741,0.0002551616,0.0006820504,0.001670058,0.3305707,0.3239797,0.001259452,0.006714217,0.0001265066],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8225611,0.0006191614,0.1678747,0.0001765217,0.00005668609,0.0001189707,0.0001998216,0.001167744,0.007225226],"genre_scores_gemma":[0.9476081,0.0003587593,0.05026121,0.00003386578,0.00002743484,0.0000467419,0.0000899082,0.00003633438,0.001537629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001451329,"threshold_uncertainty_score":0.004855216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147636897091806,"score_gpt":0.38075782138421,"score_spread":0.359281452413292,"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."}}