{"id":"W3167346101","doi":"10.1109/widstaif52235.2021.9430216","title":"Integrating Modalities into Context Aware eLearning System Using Cloud Computing","year":2021,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Cloud computing; Context (archaeology); Multimedia; Scalability; Modalities; Variety (cybernetics); Human–computer interaction; Architecture; World Wide Web; Data science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002705633,0.0004365149,0.0006578097,0.0005969233,0.000506984,0.001308107,0.00115548,0.0006410555,0.004486448],"category_scores_gemma":[0.0006310305,0.0002018061,0.0005741622,0.0004715371,0.0002103178,0.001560627,0.001296149,0.0006678028,0.0009649993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003082252,"about_ca_system_score_gemma":0.0005053096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001754081,"about_ca_topic_score_gemma":0.001713729,"domain_scores_codex":[0.9996554,0.00003930755,0.00003393625,0.00008921678,0.0001028468,0.00007934318],"domain_scores_gemma":[0.999815,0.00003191659,0.00001433631,0.00003293344,0.00006940325,0.0000364007],"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":[0.001403628,0.001061664,0.01032849,0.0008803403,0.0003479359,0.002644601,0.0008228957,0.0180002,0.2597502,0.01538075,0.01569771,0.6736817],"study_design_scores_gemma":[0.0003908702,0.001008585,0.01195663,0.000326832,0.0006247605,0.004294725,0.0005631202,0.5410558,0.307584,0.01912927,0.1126948,0.0003705694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1609794,0.00247884,0.7818416,0.001252949,0.0006129801,0.0009596988,0.0006558092,0.01615935,0.03505934],"genre_scores_gemma":[0.8160914,0.001229179,0.1672206,0.0006730654,0.0001261944,0.0002898785,0.0003931334,0.0002169033,0.01375963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004486448,"threshold_uncertainty_score":0.01500863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715831727217034,"score_gpt":0.2750307763515148,"score_spread":0.2378724590793445,"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."}}