{"id":"W4214889552","doi":"10.1109/tmc.2022.3155657","title":"Optimized Controller Provisioning in Software-Defined LEO Satellite Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Satellite Communication Systems","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Computer science; Overhead (engineering); Network topology; Provisioning; Controller (irrigation); Rounding; Software-defined networking; Distributed computing; Computer network; 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":[0.0008140424,0.0008337747,0.0007387503,0.0003831929,0.0004441671,0.001467396,0.001155366,0.0007489006,0.001121173],"category_scores_gemma":[0.002655554,0.0005091815,0.0002638595,0.0007081959,0.0008172421,0.001820261,0.0008239179,0.0008362716,0.0001379592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002371251,"about_ca_system_score_gemma":0.001750834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01253689,"about_ca_topic_score_gemma":0.01152238,"domain_scores_codex":[0.9989882,0.0002142838,0.00003476383,0.0001891914,0.0003000552,0.0002734781],"domain_scores_gemma":[0.9990869,0.0004019498,0.000206155,0.00008367432,0.000158016,0.00006333949],"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":[0.00002382921,0.00002049909,0.0001806874,0.00001548405,0.000005848707,0.00002564266,0.000024228,0.9865979,0.0007141549,0.006952109,0.0003215662,0.005118031],"study_design_scores_gemma":[0.000001640572,0.000005995557,0.00005037201,0.00000108412,0.000001337685,0.000002794632,0.000005547079,0.9987491,0.0001077408,0.0009590774,0.000113679,0.000001636063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1007389,0.0008260856,0.8875314,0.0006104822,0.0000723407,0.00008145913,0.0001488253,0.0004888927,0.009501483],"genre_scores_gemma":[0.9814548,0.0002842523,0.01574296,0.00006014297,0.00003387814,0.00004793031,0.00005475082,0.00003580033,0.002285465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01253689,"threshold_uncertainty_score":0.02492779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267950875594463,"score_gpt":0.2283762282514591,"score_spread":0.2156967194955144,"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."}}