{"id":"W7138847776","doi":"10.1109/globecom59602.2025.11431765","title":"Microservice-based Network Digital Twins: A Slicing Approach","year":2025,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Slicing; Quality of service; Throughput; Service (business); Quality (philosophy); Microservices; Architecture; Scaling","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":[0.0007578687,0.0004762732,0.0003797292,0.0005090471,0.0003135082,0.0006568675,0.0007495472,0.0003263135,0.001025258],"category_scores_gemma":[0.001059925,0.0002931578,0.0003344214,0.0004132095,0.000597558,0.001090523,0.0006182439,0.0005179198,0.0001242261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008901072,"about_ca_system_score_gemma":0.001043083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003446394,"about_ca_topic_score_gemma":0.004475808,"domain_scores_codex":[0.9995228,0.0001203946,0.00003791033,0.00007349046,0.0001702036,0.00007522936],"domain_scores_gemma":[0.9992132,0.0001972302,0.0001237146,0.0002076617,0.0001982425,0.00005984159],"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":[0.0002849457,0.0001442097,0.003714485,0.000283559,0.00009574845,0.0006179282,0.0005992245,0.4796369,0.1756888,0.1102321,0.002556473,0.2261456],"study_design_scores_gemma":[0.00001618849,0.0001188366,0.000713932,0.00003302783,0.00004411817,0.0002025545,0.000117234,0.9281906,0.04461997,0.01828847,0.007626092,0.00002909688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05830434,0.000573829,0.9357114,0.0001184203,0.00003440957,0.0001056371,0.00006803219,0.001142691,0.003941245],"genre_scores_gemma":[0.510103,0.0004391602,0.487619,0.00007703728,0.00001750435,0.0001033592,0.0001260207,0.0001355703,0.001379225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003446394,"threshold_uncertainty_score":0.006852686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00888687075288988,"score_gpt":0.2139055918193022,"score_spread":0.2050187210664123,"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."}}