{"id":"W3199645100","doi":"10.1016/j.future.2021.09.017","title":"DAVINCI: online and Dynamic Adaptation of eVolvable vIrtual Network services over Cloud Infrastructures","year":2021,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ericsson (Canada); École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Downtime; Computer science; Virtual network; Cloud computing; Live migration; Distributed computing; Heuristics; Computer network; Virtualization","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":[],"consensus_categories":[],"category_scores_codex":[0.0001784348,0.0002111824,0.0003151952,0.00006458887,0.0001720181,0.0003395402,0.0003200915,0.0001564191,0.00000782976],"category_scores_gemma":[0.000003219392,0.0001932958,0.00005708048,0.0004407996,0.00001876114,0.0004004795,0.0002444173,0.0001337844,0.000002128863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003476865,"about_ca_system_score_gemma":0.00009480674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008901325,"about_ca_topic_score_gemma":0.000423773,"domain_scores_codex":[0.9982961,0.0001883439,0.0004602063,0.0004845056,0.0003340996,0.0002367303],"domain_scores_gemma":[0.9988074,0.00006984419,0.0002553829,0.0004969744,0.0002849301,0.00008550986],"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":[0.000008349118,0.00005352672,0.001921422,0.0001295642,0.00008670259,0.00001666957,0.001281709,0.8946521,0.0004367932,0.0219196,0.05287757,0.02661599],"study_design_scores_gemma":[0.000361951,0.00009507881,0.008858611,0.00007874734,0.00001236479,0.00005423515,0.00008184111,0.9649765,0.00002856431,0.00006088061,0.02519754,0.000193715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09731334,0.007290049,0.8615593,0.0001546894,0.03338761,0.0001507007,0.00002229179,0.0001126589,0.000009381309],"genre_scores_gemma":[0.5814727,0.0004092681,0.3093022,0.001245203,0.1063201,0.00002511499,0.0009407597,0.00004850128,0.0002361552],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5522571,"threshold_uncertainty_score":0.7882372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008284857594149358,"score_gpt":0.211350415824408,"score_spread":0.2030655582302586,"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."}}