{"id":"W4402810721","doi":"10.1109/iccc62479.2024.10681791","title":"User-centric Service Provision for Edge-assisted Mobile AR: A Digital Twin-based Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Waterloo","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Service (business); Human–computer interaction; Telecommunications; Business","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":[0.001306346,0.0008917039,0.0008788886,0.0008322738,0.0008214337,0.0018786,0.002000568,0.0009621324,0.00175769],"category_scores_gemma":[0.003121244,0.0004440545,0.0006079261,0.001061147,0.0009920156,0.00312277,0.002439913,0.00145575,0.0004321449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569345,"about_ca_system_score_gemma":0.001478224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004221208,"about_ca_topic_score_gemma":0.003820039,"domain_scores_codex":[0.9988114,0.0003376187,0.00005790143,0.0002821502,0.0003112548,0.0001997856],"domain_scores_gemma":[0.9988681,0.0003199134,0.0001093034,0.0002499837,0.0003253224,0.0001274376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003487234,0.0002434463,0.001825543,0.0001677505,0.00007507865,0.000296196,0.0003312053,0.7571826,0.02481013,0.07213158,0.002547845,0.1400398],"study_design_scores_gemma":[0.00000258622,0.00003990885,0.00007262285,0.000003450536,0.000007518071,0.00005231142,0.00003462338,0.993892,0.001395911,0.003762263,0.0007289937,0.000007949893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01937942,0.0001015577,0.9782102,0.0001343763,0.0000345533,0.0000608273,0.00004219001,0.0002314929,0.001805432],"genre_scores_gemma":[0.8595256,0.0002180758,0.1380954,0.0001244591,0.00004648392,0.00007181412,0.00009717525,0.00007311015,0.001747905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004221208,"threshold_uncertainty_score":0.01138645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820012163426447,"score_gpt":0.2486901538830645,"score_spread":0.2304900322488,"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."}}