{"id":"W3191131139","doi":"10.1109/icc42927.2021.9500250","title":"DSO: An Intelligent SFC Orchestrator for Time and Resource Intensive Ultra Dense IoT Networks","year":2021,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Orchestration; Quality of service; Distributed computing; Resource (disambiguation); Resource allocation; Internet of Things; Computer network; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002673058,0.0001906067,0.0002371503,0.00004241397,0.0001408778,0.0002945226,0.0003801121,0.0001269378,0.0000426467],"category_scores_gemma":[0.0001853749,0.0001662134,0.0000769753,0.0003148748,0.0000609112,0.0001477982,0.0001520244,0.0001678237,0.00001968486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002467851,"about_ca_system_score_gemma":0.00007712767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001497455,"about_ca_topic_score_gemma":0.0000313958,"domain_scores_codex":[0.9985174,0.00007820496,0.0002518779,0.0006045292,0.00014264,0.0004053265],"domain_scores_gemma":[0.9981775,0.0005705582,0.0000611887,0.0005720193,0.0003666854,0.0002519948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003046425,0.00058724,0.003169654,0.00009289367,0.0003738007,0.0005699414,0.005286803,0.02808965,0.003829215,0.1108074,0.2067627,0.6401261],"study_design_scores_gemma":[0.0007612207,0.0006429365,0.001258858,0.00009060581,0.0000415731,0.0003328713,0.0005226631,0.9159186,0.008352313,0.004679439,0.06662358,0.0007753249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04196202,0.0009951731,0.9539613,0.001761063,0.000225801,0.0002653196,0.000003585826,0.0003199999,0.0005057227],"genre_scores_gemma":[0.7015326,0.0002560314,0.262695,0.02730054,0.001322859,0.00009372328,0.00009742787,0.000106272,0.006595523],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8878289,"threshold_uncertainty_score":0.6777985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089427054313418,"score_gpt":0.2448620303475292,"score_spread":0.223967759804395,"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."}}