{"id":"W4315497913","doi":"10.3389/fcomp.2022.1068478","title":"Toward immersive communications in 6G","year":2023,"lang":"en","type":"article","venue":"Frontiers in Computer Science","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Carleton University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Virtual reality; Haptic technology; Multimedia; Entertainment; Human–computer interaction; Reliability (semiconductor); Telecommunications network; Immersive technology; Telecommunications; Simulation; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001666105,0.0008071213,0.0003892278,0.0007272696,0.0008565329,0.004038029,0.001042356,0.002458275,0.004285297],"category_scores_gemma":[0.002638501,0.0005586083,0.0004853591,0.0008024047,0.002641242,0.006674452,0.003144082,0.00492993,0.001303424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008026062,"about_ca_system_score_gemma":0.0008996363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001689386,"about_ca_topic_score_gemma":0.00171302,"domain_scores_codex":[0.9989869,0.0003676148,0.00004796506,0.0001071902,0.0003651028,0.000125191],"domain_scores_gemma":[0.9987739,0.0005215042,0.00007731015,0.0001820604,0.0003203867,0.0001249195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006131391,0.00005428988,0.0005956123,0.0002999712,0.00002029696,0.0002587993,0.000924619,0.005567573,0.007251631,0.8866178,0.007304687,0.09104324],"study_design_scores_gemma":[0.00003413102,0.0003494863,0.000683539,0.000702259,0.00004441043,0.001280575,0.001076302,0.0832581,0.009838981,0.5083656,0.3942629,0.0001037043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01976975,0.0438292,0.7992091,0.01906838,0.002324754,0.0002078779,0.0001386105,0.0006664105,0.114786],"genre_scores_gemma":[0.3595888,0.08516277,0.5168806,0.005041501,0.003462469,0.0003489601,0.0002451016,0.0002155576,0.02905417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004285297,"threshold_uncertainty_score":0.01433575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.044456224061562,"score_gpt":0.285694358639188,"score_spread":0.241238134577626,"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."}}