{"id":"W2808151025","doi":"10.1109/wcnc.2018.8377054","title":"Packet duplication for URLLC in 5G dual connectivity architecture","year":2018,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Network packet; PHY; Computer network; Latency (audio); Dual (grammatical number); Distributed computing; Optimization problem; Physical layer; Software deployment; Architecture; Radio resource management; Wireless; Wireless network; Telecommunications; Algorithm","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":[0.0008250244,0.0003673597,0.0004948357,0.0003391033,0.000507309,0.0007192488,0.0007030382,0.0005247376,0.001456083],"category_scores_gemma":[0.002114101,0.0002243629,0.0002127575,0.0003954453,0.000550113,0.0009992808,0.001086716,0.0006901901,0.000217492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007693527,"about_ca_system_score_gemma":0.001017634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007023769,"about_ca_topic_score_gemma":0.001271443,"domain_scores_codex":[0.999379,0.0001940233,0.00002374292,0.00009116455,0.0001889384,0.0001230362],"domain_scores_gemma":[0.9991226,0.0004267054,0.0001497589,0.0001350648,0.0001200687,0.00004584439],"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":[0.000502561,0.0001753544,0.002534181,0.0002963681,0.00005323689,0.001070278,0.0003760442,0.5909959,0.07539254,0.1526302,0.004035122,0.1719382],"study_design_scores_gemma":[0.00002826304,0.0003529625,0.0006100298,0.00002315402,0.00002331835,0.0005291083,0.0001026631,0.9609842,0.01254582,0.02072152,0.004058386,0.00002053885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1554894,0.0005506153,0.8345873,0.0005555256,0.00006920283,0.00008762912,0.00004887352,0.0002689498,0.008342569],"genre_scores_gemma":[0.934631,0.0002515994,0.06276646,0.000121782,0.00004968751,0.00006031957,0.0000331022,0.00002144499,0.002064517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001456083,"threshold_uncertainty_score":0.005582035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269482094617646,"score_gpt":0.3072421156112188,"score_spread":0.2645472946650423,"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."}}