{"id":"W4210912760","doi":"10.1155/2022/5918128","title":"A Software-Defined Networking Roadside Unit Cloud Resource Management Framework for Vehicle Ad Hoc Networks","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Computer science; Cloud computing; Computer network; Software-defined networking; Wireless ad hoc network; Distributed computing; Vehicular ad hoc network; Integer programming; Wireless; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005232048,0.0002523588,0.0003806848,0.0001741102,0.0002587445,0.00003401857,0.0003072584,0.00009632116,0.00003673211],"category_scores_gemma":[0.00001325001,0.0002892342,0.0002662242,0.0005603836,0.0000207285,0.0002408512,0.0000109415,0.0007811515,0.000001085539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001968918,"about_ca_system_score_gemma":0.00002081867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.428009e-7,"about_ca_topic_score_gemma":0.00001844893,"domain_scores_codex":[0.9979658,0.00005864141,0.0008126343,0.0001856026,0.0004770714,0.0005002676],"domain_scores_gemma":[0.9989005,0.0002457358,0.0003799117,0.0002379596,0.00009077579,0.0001451721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004549945,0.00003776794,0.0002904657,0.00005901368,0.0001874967,0.00009075362,0.0005341281,0.9365636,0.00005689368,0.0005025999,0.0007735582,0.06044871],"study_design_scores_gemma":[0.006300312,0.001075215,0.02020196,0.0007671584,0.0007402746,0.00009302736,0.003504554,0.3573564,0.0001152164,0.01321888,0.5954404,0.001186589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.277062,0.009617496,0.7101467,0.0001285979,0.002235941,0.000541863,0.0000139768,0.0002057244,0.0000477036],"genre_scores_gemma":[0.8749803,0.001413536,0.1219173,0.0002481345,0.0009307719,0.0001137065,0.0001529402,0.0001610104,0.00008232135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5979183,"threshold_uncertainty_score":0.999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008646943006905099,"score_gpt":0.2223455436388212,"score_spread":0.2136986006319161,"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."}}