{"id":"W4401067503","doi":"10.3390/drones8080353","title":"A Survey on Artificial-Intelligence-Based Internet of Vehicles Utilizing Unmanned Aerial Vehicles","year":2024,"lang":"en","type":"article","venue":"Drones","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Quality of service; Computer network; Taxis; The Internet; Cloud computing; Throughput; Vehicular ad hoc network; Intelligent transportation system; Resource allocation; Wireless ad hoc network; Distributed computing; Wireless; Telecommunications; Transport engineering; 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":[0.0005141611,0.0008170148,0.0005718112,0.002638875,0.0004130056,0.001682636,0.001093999,0.0009366206,0.004815003],"category_scores_gemma":[0.001445421,0.0004269938,0.0004453655,0.005451066,0.0003332327,0.003570911,0.0007099975,0.0009196259,0.002685616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005218474,"about_ca_system_score_gemma":0.0009953671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001752776,"about_ca_topic_score_gemma":0.001710763,"domain_scores_codex":[0.9995512,0.00007535198,0.00004910585,0.00008326447,0.0001995164,0.00004154432],"domain_scores_gemma":[0.9992349,0.0003434408,0.00005494615,0.00005276706,0.0002682479,0.00004577571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004026685,0.00008704942,0.001461527,0.004593122,0.00005300069,0.0001879025,0.0001220595,0.00469465,0.001639545,0.02893423,0.04695026,0.9112364],"study_design_scores_gemma":[0.000005938538,0.0001034757,0.001145492,0.001234242,0.00005015984,0.0005522119,0.0001424886,0.008526618,0.001059688,0.007042971,0.9801063,0.00003043619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006558753,0.8525918,0.05660238,0.002162596,0.002576951,0.0002082075,0.0004340672,0.0004611815,0.07840405],"genre_scores_gemma":[0.0319007,0.9250731,0.02387571,0.0009785423,0.001438756,0.0001241463,0.001143828,0.0000899538,0.01537528],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004815003,"threshold_uncertainty_score":0.0161078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03879121459607689,"score_gpt":0.2619473765830601,"score_spread":0.2231561619869832,"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."}}