{"id":"W4392349180","doi":"10.18280/ts.410118","title":"Optimizing Remote Teaching Interaction Platforms Through Multimodal Image Recognition Technology","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Image (mathematics); Computer vision; Artificial intelligence; Multimedia; Human–computer interaction; Computer graphics (images)","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":[0.0004026804,0.0007216522,0.0004665182,0.0006603854,0.0002637277,0.0007693417,0.0008783219,0.0005826981,0.002083607],"category_scores_gemma":[0.001431801,0.0002445082,0.0003998732,0.0004578503,0.0003335076,0.001364667,0.000783988,0.0005640836,0.001160713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004818506,"about_ca_system_score_gemma":0.0004789672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001315125,"about_ca_topic_score_gemma":0.001250092,"domain_scores_codex":[0.9996023,0.00006339222,0.00002013188,0.0001015705,0.0001598938,0.00005272327],"domain_scores_gemma":[0.9995909,0.0001190871,0.00007110082,0.00005432722,0.0001323416,0.00003218529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002230008,0.0001921116,0.001233239,0.0001764845,0.00003447777,0.0002059784,0.0002239088,0.04472665,0.4777958,0.004834724,0.002005056,0.4683486],"study_design_scores_gemma":[0.00002103828,0.0002151811,0.001625194,0.00001678557,0.00004580623,0.0002297412,0.0000887292,0.7523073,0.2383311,0.001995196,0.005082017,0.00004184745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03456985,0.0002112764,0.9610268,0.00009948461,0.00004323139,0.00006997634,0.00002663663,0.001701835,0.002250907],"genre_scores_gemma":[0.4967686,0.0003434046,0.4982559,0.0001089208,0.00004858715,0.0001618637,0.0001268637,0.0002594772,0.003926547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002083607,"threshold_uncertainty_score":0.006970346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04030304589712652,"score_gpt":0.3274898475319414,"score_spread":0.2871868016348149,"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."}}