{"id":"W3112213283","doi":"10.3390/app10238762","title":"A Relay Selection Protocol for UAV-Assisted VANETs","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Relay; Computer science; Computer network; Node (physics); Selection (genetic algorithm); Overhead (engineering); Protocol (science); Wireless ad hoc network; Quality of service; Distributed computing; Wireless; Telecommunications; 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":[0.0009409488,0.00100405,0.0007140443,0.0007238466,0.0006630607,0.0008526975,0.001454201,0.0008919839,0.001016347],"category_scores_gemma":[0.00211428,0.0002528751,0.0006637581,0.0008986617,0.0007206207,0.001603434,0.001149122,0.0006827068,0.0002336702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007088194,"about_ca_system_score_gemma":0.0006516376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670792,"about_ca_topic_score_gemma":0.001445385,"domain_scores_codex":[0.9991375,0.0003556846,0.00006239028,0.0001745394,0.0001771193,0.00009264758],"domain_scores_gemma":[0.9991553,0.00042791,0.0001421275,0.00007926038,0.0001528986,0.00004254106],"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":[0.0001969165,0.00007553193,0.0007278199,0.0003596838,0.0001667407,0.0009066118,0.000404217,0.7936928,0.02130495,0.08970895,0.002991475,0.08946425],"study_design_scores_gemma":[0.00002285755,0.0002127623,0.0001229216,0.00002212077,0.00004981016,0.000388646,0.0001141977,0.9790425,0.003865907,0.01165098,0.004478321,0.00002895617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01873101,0.001037818,0.9771819,0.0002614705,0.00009705318,0.0001465098,0.00004838766,0.0001347225,0.002361216],"genre_scores_gemma":[0.8444566,0.001764416,0.1487359,0.0001535369,0.0001005425,0.0003285527,0.0001436726,0.00003951905,0.004277283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001670792,"threshold_uncertainty_score":0.005142868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04292972890931798,"score_gpt":0.2753615314596653,"score_spread":0.2324318025503473,"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."}}