{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002376699,0.0001352765,0.0001381915,0.00003990539,0.0001910567,0.00008582625,0.0002390602,0.00007081591,0.00004799925],"category_scores_gemma":[0.00001814827,0.0001208143,0.00004144304,0.0006237911,0.00007533272,0.0001043481,0.00002319487,0.0001220526,0.00005927264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003523081,"about_ca_system_score_gemma":0.00003940823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002142117,"about_ca_topic_score_gemma":0.00001677596,"domain_scores_codex":[0.9989357,0.00001010988,0.0001802182,0.0002940687,0.0002280744,0.0003518159],"domain_scores_gemma":[0.9996938,0.00005373067,0.00003618412,0.00008053883,0.00002018151,0.0001156417],"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":[0.00002016638,0.00001092774,0.00006372272,0.00007092055,0.00001229768,8.306429e-7,0.0001919379,0.9588802,0.02119387,0.001195122,0.01304152,0.00531846],"study_design_scores_gemma":[0.000495767,0.0001106091,0.0002555399,0.00001223311,0.00000740308,0.000004883175,0.00004970042,0.9083296,0.008621578,0.0001788311,0.08173384,0.0002000021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.1114748,0.00007491937,0.2179361,0.002788535,0.0007958957,0.5478508,0.00002036415,0.006367323,0.1126913],"genre_scores_gemma":[0.8086476,5.283759e-7,0.01615776,0.0003591627,0.0003168164,0.1744339,0.000004116209,0.00003202328,0.00004810887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6971728,"threshold_uncertainty_score":0.4926663,"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."}}