{"id":"W4407831631","doi":"10.1109/mcomstd.0001.2300054","title":"Toward 6G-Enabled URLLCs: Digital Twin, Open Ran, and Semantic Communications","year":2025,"lang":"en","type":"article","venue":"IEEE Communications Standards Magazine","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Ran; Telecommunications; Computer network","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004866768,0.0002778778,0.0003763638,0.0002697304,0.0004301656,0.001133985,0.003457781,0.0001493476,0.00006592339],"category_scores_gemma":[0.0001751312,0.0003051304,0.00007318484,0.0008217142,0.0004734121,0.001609672,0.001083513,0.0005612833,0.0001022584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002680776,"about_ca_system_score_gemma":0.0002102399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001174272,"about_ca_topic_score_gemma":0.00007680558,"domain_scores_codex":[0.9984425,0.00007738979,0.0006748975,0.0002091212,0.0002745694,0.0003214785],"domain_scores_gemma":[0.9952933,0.0004279777,0.00006998283,0.003672182,0.0004114216,0.000125114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001888998,0.001570989,0.002960397,0.001756325,0.00181625,0.00001080237,0.00653512,0.004718616,0.002219274,0.2122798,0.5611047,0.2048389],"study_design_scores_gemma":[0.00179843,0.00004590664,0.0004765445,0.0004579422,0.00009078142,0.00002248419,0.0008986113,0.01583201,0.0004400574,0.00609411,0.9733371,0.0005059832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002953333,0.003364994,0.03431178,0.006181964,0.0003109978,0.00113099,0.001635708,0.0007864529,0.9493238],"genre_scores_gemma":[0.9894323,0.002818722,0.004191628,0.0001907424,0.00001737775,0.0002338415,0.0002681495,0.00005027439,0.002796957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.986479,"threshold_uncertainty_score":0.9999401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03998603399522638,"score_gpt":0.3098374726713112,"score_spread":0.2698514386760848,"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."}}