{"id":"W2950571978","doi":"10.13052/jicts2245-800x.725","title":"ETSI NFV, the Pillar for Cloud ReadyICT Deployments","year":2019,"lang":"en","type":"article","venue":"Journal of ICT Standardization","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada)","funders":"","keywords":"Cloud computing; Pillar; Computer science; Engineering; Operating system","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":[0.007194271,0.0008967138,0.0006414521,0.001383849,0.001368205,0.004475927,0.002457794,0.002555156,0.01150105],"category_scores_gemma":[0.01072692,0.0006020399,0.0007010591,0.001597269,0.001128545,0.005691728,0.003387993,0.004453781,0.01022673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003550133,"about_ca_system_score_gemma":0.005096843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009796343,"about_ca_topic_score_gemma":0.005416085,"domain_scores_codex":[0.9949427,0.0008161147,0.0002779273,0.0004839935,0.00272314,0.0007562031],"domain_scores_gemma":[0.9964768,0.000309589,0.0001652416,0.001195489,0.001369386,0.0004834257],"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":[0.0002031654,0.0001588119,0.001274952,0.0002167582,0.00003765654,0.000246889,0.0004231101,0.006668401,0.01468526,0.5205269,0.2751315,0.1804265],"study_design_scores_gemma":[0.00004796483,0.00008652388,0.0007870159,0.0001955223,0.00001017023,0.0002231343,0.0001016694,0.01083472,0.005355586,0.07006101,0.9122393,0.0000573858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01836013,0.002709695,0.5868528,0.01463393,0.003952151,0.0009386228,0.004993315,0.0305017,0.3370577],"genre_scores_gemma":[0.2603255,0.007581076,0.4345437,0.01053013,0.001778038,0.002847959,0.04664885,0.01965942,0.2160854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01150105,"threshold_uncertainty_score":0.0384748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009326518314819728,"score_gpt":0.2442283324460883,"score_spread":0.2349018141312685,"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."}}