{"id":"W3085145549","doi":"10.1109/tits.2020.3020220","title":"UAV-Assisted Content Delivery in Intelligent Transportation Systems-Joint Trajectory Planning and Cache Management","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Markov decision process; Cache; Computer science; Service (business); Wireless; Trajectory; Resource allocation; Optimization problem; Resource (disambiguation); Operations research; Markov process; Computer network; Engineering; Telecommunications; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008113675,0.0007855406,0.001048138,0.0005586719,0.0005675047,0.001387164,0.00110048,0.001330476,0.001673805],"category_scores_gemma":[0.001911742,0.0005445539,0.0008288868,0.001002135,0.0009633142,0.00103601,0.00112094,0.0008464181,0.0002189209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001973785,"about_ca_system_score_gemma":0.002193781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02316326,"about_ca_topic_score_gemma":0.01296465,"domain_scores_codex":[0.9995208,0.0001541541,0.00002642366,0.0001122615,0.00008203113,0.0001043872],"domain_scores_gemma":[0.9990174,0.0006168158,0.0001652559,0.00003970126,0.0001027092,0.00005820234],"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":[0.00002067009,0.00001617515,0.0002740556,0.00004606038,0.00001539598,0.0000562218,0.00002708383,0.9860124,0.0003756295,0.007220478,0.0003241011,0.00561166],"study_design_scores_gemma":[0.000003697926,0.00001576011,0.00006544161,0.000005393046,0.000005276599,0.000008749195,0.00001070623,0.9970704,0.0001316577,0.002390925,0.000289053,0.000002752414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03413722,0.001692709,0.9575073,0.0006059433,0.00008454177,0.0001000334,0.0002061398,0.0002804282,0.00538578],"genre_scores_gemma":[0.9510808,0.001180892,0.0440466,0.00008316733,0.00005662694,0.0001604251,0.0001991414,0.00004273174,0.003149581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02316326,"threshold_uncertainty_score":0.04605687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06416720548862632,"score_gpt":0.2291824371336195,"score_spread":0.1650152316449932,"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."}}