{"id":"W3118947506","doi":"10.1109/tnse.2021.3050213","title":"Dynamical Control Domain Division for Software-Defined Satellite-Ground Integrated Vehicular Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"National Key Research and Development Program of China; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Rounding; Heuristic; Computer science; Domain (mathematical analysis); Controller (irrigation); Software; Ground segment; Satellite; Algorithm; Mathematical optimization; Mathematics; Artificial intelligence; Engineering","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":[0.00100396,0.0008640856,0.0006798393,0.0004889405,0.0006046463,0.001210249,0.001240549,0.0005744373,0.004091196],"category_scores_gemma":[0.002944632,0.0002589807,0.0005477481,0.0008034505,0.0007912544,0.00110449,0.0009146033,0.001164837,0.0003004659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156821,"about_ca_system_score_gemma":0.001809033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004385779,"about_ca_topic_score_gemma":0.00461567,"domain_scores_codex":[0.9990132,0.0002976404,0.00004237007,0.0002287859,0.0002332466,0.0001846879],"domain_scores_gemma":[0.9989018,0.0006613611,0.0001278436,0.0001159131,0.0001326599,0.00006035612],"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":[0.0001867569,0.0000966561,0.0004851451,0.0001234275,0.00002575531,0.00007944234,0.00008244246,0.8645668,0.003022811,0.05850214,0.003038198,0.0697904],"study_design_scores_gemma":[0.00001831746,0.00004548724,0.0000601653,0.000007892046,0.000005053695,0.00002028213,0.000020268,0.9876955,0.0008932205,0.01009387,0.001134216,0.000005800424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02340336,0.0003961484,0.9700966,0.0002361809,0.00006944732,0.0001142564,0.00006844763,0.0002989661,0.00531656],"genre_scores_gemma":[0.7634268,0.0004428096,0.232815,0.0001736308,0.00005285208,0.0002410937,0.0002545804,0.00006390981,0.002529307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004385779,"threshold_uncertainty_score":0.01368642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007033073639941094,"score_gpt":0.2022853226532361,"score_spread":0.195252249013295,"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."}}