{"id":"W4404788252","doi":"10.1109/mnet.2024.3507157","title":"Realizing Immersive Communications in Human Digital Twin by Edge Computing Empowered Tactile Internet: Visions and Case Study","year":2024,"lang":"en","type":"article","venue":"IEEE Network","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Concordia University","funders":"","keywords":"Computer science; Vision; The Internet; Enhanced Data Rates for GSM Evolution; Multimedia; Edge computing; Virtual reality; Telecommunications; Human–computer interaction; World Wide Web","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":[0.00008071138,0.0001200641,0.0001423194,0.0000780222,0.0001142276,0.0001825707,0.0001767188,0.0000612056,0.000003110811],"category_scores_gemma":[0.000006195168,0.000125345,0.0000271422,0.0002535491,0.0000591528,0.000133681,0.0001712939,0.0003008001,0.000004429746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005739523,"about_ca_system_score_gemma":0.000003965315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004012278,"about_ca_topic_score_gemma":0.0004284822,"domain_scores_codex":[0.9993672,0.00001497486,0.0002013472,0.0001556996,0.00004924137,0.000211573],"domain_scores_gemma":[0.999446,0.0001844723,0.00001555515,0.0003140384,0.000008866789,0.00003105324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001912598,0.0005071756,0.07908012,0.0002821313,0.0009984686,0.005501886,0.04702377,0.04266952,0.001302993,0.002234426,0.7569129,0.0634675],"study_design_scores_gemma":[0.002449823,0.0009126748,0.005904992,0.002644998,0.0002041912,0.001944918,0.2206591,0.5454229,0.0007452897,0.002736917,0.2138131,0.002561147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921431,0.002931675,0.0005357452,0.00004244087,0.0008003206,0.0002061413,0.00001566931,0.0004569596,0.002867944],"genre_scores_gemma":[0.9996051,0.0000577735,0.00005369144,0.00000932175,0.0001739793,0.00001334997,0.00001449592,0.00002830492,0.00004400043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5430998,"threshold_uncertainty_score":0.5111419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277367396244574,"score_gpt":0.285574282803153,"score_spread":0.2628006088407073,"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."}}