{"id":"W4413176453","doi":"10.18280/ts.420419","title":"Development and Application of a Deep Learning-Based Image Processing System for Classroom Behavior Analysis","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Image processing; Image (mathematics); Deep learning; Computer vision","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":[0.000457085,0.0004616653,0.0004643155,0.0005867212,0.0002035793,0.0004390075,0.000945843,0.0005888619,0.002606357],"category_scores_gemma":[0.0008979149,0.0002622991,0.0004386443,0.0003748644,0.0001966332,0.0005298182,0.0005379576,0.0007742945,0.001108266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00064152,"about_ca_system_score_gemma":0.001090532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004559567,"about_ca_topic_score_gemma":0.005573843,"domain_scores_codex":[0.9997256,0.0000361295,0.00002004413,0.00009586067,0.00008671794,0.00003559773],"domain_scores_gemma":[0.999619,0.0000844242,0.00003340512,0.00003750934,0.0001857137,0.00004006157],"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":[0.0002693185,0.0005578808,0.005629975,0.000218194,0.0001085743,0.0003231446,0.0002321372,0.0511892,0.1463803,0.003092023,0.005850366,0.786149],"study_design_scores_gemma":[0.00001990391,0.0001641843,0.003223845,0.00002146074,0.00002907456,0.000129084,0.00003274273,0.9508387,0.04057032,0.001056033,0.003884958,0.00002965589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02746106,0.00009850047,0.9647655,0.0002200276,0.00008018073,0.0002254621,0.0002571206,0.00505138,0.001840739],"genre_scores_gemma":[0.3013048,0.0001800887,0.6909076,0.0003204745,0.00004038511,0.0005931442,0.0005298589,0.0001734041,0.005950311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004559567,"threshold_uncertainty_score":0.009066045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405490186005156,"score_gpt":0.2912946007475635,"score_spread":0.2772396988875119,"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."}}