{"id":"W4414432147","doi":"10.1109/iaeac65194.2025.11165969","title":"Real-Time Student Behavior Monitoring System Based on Edge–Cloud Collaboration and LSTM Modeling","year":2025,"lang":"en","type":"article","venue":"","topic":"Innovation in Digital Healthcare Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Latency (audio); Random forest; Support vector machine; Feature (linguistics); Anomaly detection; Feature extraction; Bandwidth (computing); Data modeling","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001031886,0.0001885959,0.000314472,0.0003201652,0.0008455939,0.00005851132,0.0001280947,0.000259542,0.00002227842],"category_scores_gemma":[0.00008414855,0.0001733159,0.00002575157,0.0007432637,0.00001617505,0.0001650208,0.00007529652,0.0003252547,0.0001471541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113348,"about_ca_system_score_gemma":0.0006685731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000496297,"about_ca_topic_score_gemma":0.00003299923,"domain_scores_codex":[0.9974268,0.0003991238,0.001008587,0.0003777049,0.0004028174,0.0003849847],"domain_scores_gemma":[0.9980069,0.0003085057,0.0001987755,0.000413035,0.0009754979,0.00009732386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005564948,0.0006633611,0.7356681,0.01149742,0.0001077401,0.00003824082,0.007812515,0.007845445,0.006421838,0.2079232,0.01502539,0.006440183],"study_design_scores_gemma":[0.00700897,0.0006811598,0.07953776,0.0187575,0.0001588262,0.000003351643,0.1325372,0.7545222,0.001528413,0.0001875015,0.003657549,0.001419562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755029,0.00002405402,0.002868189,0.0008377605,0.005052436,0.002716991,0.00002565544,0.0005467457,0.1124253],"genre_scores_gemma":[0.9888919,0.00000399601,0.0005592974,0.0002316639,0.0005261271,0.0008669868,0.00002323984,0.00002889988,0.00886786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7466767,"threshold_uncertainty_score":0.7067615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05720383358597209,"score_gpt":0.4582570573287964,"score_spread":0.4010532237428243,"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."}}