{"id":"W3154299774","doi":"10.1109/access.2021.3073806","title":"URLLC for 5G and Beyond: Requirements, Enabling Incumbent Technologies and Network Intelligence","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Computer science; Artificial intelligence; The Internet; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002622176,0.0007128922,0.0004708372,0.0009807952,0.0008352044,0.004237946,0.001387779,0.002866228,0.006205719],"category_scores_gemma":[0.004979888,0.0003634977,0.0002753004,0.001334909,0.001224756,0.006068456,0.001831504,0.002063853,0.00432377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001957553,"about_ca_system_score_gemma":0.002370271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003338404,"about_ca_topic_score_gemma":0.00299736,"domain_scores_codex":[0.9980258,0.0003889226,0.000113336,0.0001881157,0.00100987,0.0002739872],"domain_scores_gemma":[0.997888,0.0005236867,0.0001561051,0.0002243332,0.001010288,0.0001975507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001680342,0.00007800971,0.001453367,0.0008581073,0.00001261808,0.001004585,0.0006496924,0.008213704,0.01754324,0.5642942,0.09083886,0.3148856],"study_design_scores_gemma":[0.00001939106,0.0002649775,0.001218862,0.0007953362,0.00002374043,0.001619509,0.0007478236,0.03476229,0.0056978,0.1611332,0.7936388,0.0000782835],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05408422,0.06516677,0.4592831,0.06732597,0.005275047,0.00059378,0.002155564,0.005152633,0.340963],"genre_scores_gemma":[0.6026891,0.06358027,0.2053676,0.01366711,0.005240734,0.001166641,0.005302655,0.001211302,0.1017746],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006205719,"threshold_uncertainty_score":0.02076018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209873052643696,"score_gpt":0.3169396349775825,"score_spread":0.2748409044511456,"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."}}