{"id":"W4387883591","doi":"10.1109/icc45041.2023.10279552","title":"Optimized Provisioning Techniques for Geo-Distributed SDP-Enabled Next Generation Networks Security","year":2023,"lang":"en","type":"article","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Provisioning; Scalability; Distributed computing; Software-defined networking; Reinforcement learning; Cloud computing; Next-generation network; Computer security; The Internet; Computer network; Artificial intelligence","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":[0.0007837322,0.0005039978,0.0004552293,0.0003347732,0.0005152205,0.00071351,0.0008041188,0.000561751,0.00242218],"category_scores_gemma":[0.001699965,0.0003040762,0.0003601543,0.0003338206,0.0005808109,0.0009725574,0.001210513,0.001018179,0.000236756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009381581,"about_ca_system_score_gemma":0.001124079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004529524,"about_ca_topic_score_gemma":0.00480368,"domain_scores_codex":[0.9996834,0.00009534541,0.00001302261,0.00005859598,0.00008093149,0.00006880912],"domain_scores_gemma":[0.9995316,0.0002308495,0.00005965743,0.00005710392,0.0000806391,0.00004002717],"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":[0.00002203126,0.00001809593,0.0002745096,0.00002480539,0.00001045829,0.00004776493,0.00003905478,0.9578856,0.001203988,0.01793963,0.0009775967,0.02155638],"study_design_scores_gemma":[0.000002984388,0.000005568647,0.00003020856,0.000002290813,0.000001387251,0.000008629603,0.00001050578,0.9937983,0.0001781378,0.00538957,0.00057096,0.00000138495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01609466,0.0002642893,0.9788206,0.0003271637,0.00005456702,0.00003843299,0.00003400074,0.0002432568,0.00412311],"genre_scores_gemma":[0.8403536,0.0003015469,0.1564631,0.0001052371,0.0000350997,0.00006323871,0.00007739565,0.00007679225,0.0025241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004529524,"threshold_uncertainty_score":0.009006321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04171480449560785,"score_gpt":0.2806764264405227,"score_spread":0.2389616219449149,"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."}}