{"id":"W3160463998","doi":"10.1016/j.procs.2021.03.024","title":"Configuration and Governance of Dynamic Secure SDN","year":2021,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Research Council Canada","keywords":"Forwarding plane; Computer science; Routing control plane; Software-defined networking; Plane (geometry); Distributed computing; Segmentation; Computer network; Topology (electrical circuits); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001729783,0.0003261356,0.0002439333,0.0005144704,0.0006382677,0.002078095,0.0007641584,0.0004875324,0.00123576],"category_scores_gemma":[0.002760221,0.0001717976,0.0001949772,0.0004352281,0.001089082,0.001967199,0.001576375,0.0004941953,0.0002019025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273046,"about_ca_system_score_gemma":0.001244428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758321,"about_ca_topic_score_gemma":0.00104919,"domain_scores_codex":[0.9986731,0.0004288622,0.00009823051,0.0002166681,0.0003777691,0.0002054478],"domain_scores_gemma":[0.9985301,0.0002454761,0.0002306603,0.0004774042,0.0003530514,0.0001632014],"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":[0.0004156904,0.000152626,0.01542232,0.0001135869,0.00006152566,0.0004213548,0.0006682687,0.6215661,0.01803124,0.2031585,0.001900024,0.1380888],"study_design_scores_gemma":[0.00004079978,0.0001795069,0.002903204,0.00003920329,0.00003582497,0.0001439556,0.0003605539,0.906835,0.015133,0.06299938,0.01129776,0.00003180516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4462531,0.0003199153,0.5275421,0.0004849629,0.0000740317,0.0002375931,0.0001289548,0.001610519,0.02334875],"genre_scores_gemma":[0.9820279,0.00007757032,0.01696141,0.00002007738,0.00000785564,0.0000401433,0.00007547613,0.00002240358,0.0007672019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002078095,"threshold_uncertainty_score":0.009236693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005947072007646617,"score_gpt":0.2150725801687481,"score_spread":0.2091255081611015,"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."}}