{"id":"W3146830617","doi":"10.18280/ts.380109","title":"Abnormal Behavior Recognition in Classroom Pose Estimation of College Students Based on Spatiotemporal Representation Learning","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Benchmark (surveying); Class (philosophy); Artificial intelligence; Convolutional neural network; Cluster analysis; Enhanced Data Rates for GSM Evolution; Representation (politics); Frame (networking); Feature learning; Feature (linguistics); Pattern recognition (psychology); Machine learning; Deep learning","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":[0.0001660757,0.0004670304,0.0003674505,0.001084178,0.0001216432,0.0002596796,0.0003053522,0.0002714904,0.0007283359],"category_scores_gemma":[0.0005402909,0.00008857456,0.0003008744,0.0005019483,0.0001223337,0.0003154613,0.0003014173,0.0002451529,0.0002975693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002520834,"about_ca_system_score_gemma":0.0002649995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003792672,"about_ca_topic_score_gemma":0.005909568,"domain_scores_codex":[0.9998298,0.00001829266,0.000009896179,0.00005861249,0.00005098931,0.00003237871],"domain_scores_gemma":[0.999838,0.00002052465,0.00003618866,0.00001548964,0.00006859076,0.00002122603],"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":[0.0003428184,0.0003145839,0.08135138,0.00007803669,0.00008313604,0.0003741636,0.0001735593,0.04467503,0.09244876,0.0008449361,0.003191826,0.7761217],"study_design_scores_gemma":[0.000009511943,0.0002190008,0.07308593,0.00001380256,0.00003919348,0.000356223,0.0001664828,0.9001508,0.02394813,0.0006687946,0.00131868,0.00002343932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5359381,0.0002856994,0.4589278,0.0001528313,0.00007770266,0.00007669222,0.0005069257,0.001553998,0.002480376],"genre_scores_gemma":[0.9592074,0.0001721135,0.03877655,0.00003427178,0.00002361139,0.00003453867,0.0004446457,0.00002419803,0.001282754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003792672,"threshold_uncertainty_score":0.00754118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255216064441882,"score_gpt":0.2964657610231189,"score_spread":0.2709441545789307,"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."}}