{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003564907,0.0001579655,0.0001236675,0.0003418319,0.0002293975,0.000161767,0.0004392611,0.0001624142,0.0002285324],"category_scores_gemma":[0.00003314259,0.0001463524,0.00006805085,0.0003113149,0.00007291986,0.001454111,0.0001209489,0.0006100746,0.000281656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110982,"about_ca_system_score_gemma":0.00007162044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003392494,"about_ca_topic_score_gemma":0.000005615999,"domain_scores_codex":[0.9988173,0.00002602986,0.0002796194,0.0004385645,0.0001686925,0.0002698037],"domain_scores_gemma":[0.9995046,0.0001287013,0.00006398882,0.0002189757,0.00005148256,0.00003220132],"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":[0.00002163939,0.0001496634,0.00005632664,0.00006158299,0.00009736386,0.00006521117,0.004360182,0.0001788607,0.0325181,0.1511781,0.001382806,0.8099301],"study_design_scores_gemma":[0.0008853595,0.0005653919,0.0003781905,0.0006230269,0.00005865523,0.000708885,0.002045383,0.4684429,0.06628349,0.418772,0.04037053,0.000866166],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1512313,0.0002050006,0.8372747,0.006239439,0.0008561737,0.0001786776,0.000004961552,0.001094305,0.002915386],"genre_scores_gemma":[0.7220634,0.00002436379,0.2773657,0.0002211703,0.0001764554,0.00001982008,0.00002599154,0.00001109067,0.00009208767],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.809064,"threshold_uncertainty_score":0.5968076,"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."}}