{"id":"W4389945827","doi":"10.1109/cset58993.2023.10346859","title":"Quantitative Survey on Software Defined Networks (SDN) in VANETs","year":2023,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Security Establishment","funders":"","keywords":"Computer science; Vehicular ad hoc network; Computer network; Software; Software-defined networking; Throughput; Transmission (telecommunications); Base station; Global Positioning System; Wireless ad hoc network; Wireless; Telecommunications; 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":[0.002892112,0.000704458,0.000681908,0.004183503,0.0005298813,0.002350127,0.001028412,0.0008551087,0.003164312],"category_scores_gemma":[0.008583213,0.0005024205,0.0005649396,0.006979959,0.0006152751,0.003577973,0.000798553,0.0009218498,0.0006393836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595273,"about_ca_system_score_gemma":0.001721841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288692,"about_ca_topic_score_gemma":0.00176244,"domain_scores_codex":[0.9968471,0.0008167563,0.0003625257,0.0004253698,0.001346356,0.0002018689],"domain_scores_gemma":[0.9908686,0.006064849,0.0005531972,0.0003088629,0.002025673,0.0001789723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001524414,0.0001065598,0.007764782,0.009902949,0.000144447,0.000204169,0.0003210849,0.02747882,0.002548823,0.09207442,0.01434328,0.8449582],"study_design_scores_gemma":[0.00001851863,0.0007762004,0.01020038,0.007481651,0.0002792466,0.001800367,0.001489089,0.04843594,0.005819486,0.05829706,0.8652572,0.0001447973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02234938,0.7599741,0.155293,0.00347626,0.001608012,0.000227621,0.001007905,0.0003040765,0.05575977],"genre_scores_gemma":[0.1873325,0.7579712,0.04383274,0.0009223561,0.00135915,0.0002121078,0.001816242,0.0001058898,0.00644792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004183503,"threshold_uncertainty_score":0.01529509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692791891300014,"score_gpt":0.2494697931270148,"score_spread":0.2225418742140147,"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."}}