{"id":"W3047990526","doi":"10.1109/jsyst.2020.3015428","title":"QoS-Compliant 3-D Deployment Optimization Strategy for UAV Base Stations","year":2020,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Base station; Software deployment; Computer science; Quality of service; Real-time computing; Flexibility (engineering); User equipment; Minification; Computer network; Wireless; Distributed computing; Telecommunications","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":[0.0003909306,0.001171762,0.0007510877,0.0005349146,0.0004341903,0.0008187949,0.0008281399,0.0009381013,0.001593855],"category_scores_gemma":[0.0007835325,0.0004503918,0.0006383391,0.0006336258,0.0003849339,0.0005148582,0.0009392286,0.0005665853,0.0002894152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009013901,"about_ca_system_score_gemma":0.0007684503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007561366,"about_ca_topic_score_gemma":0.004805158,"domain_scores_codex":[0.9997507,0.00007741359,0.00001061625,0.00004814546,0.00004917859,0.00006388404],"domain_scores_gemma":[0.999741,0.00009794209,0.00004922011,0.00001530304,0.00006281178,0.00003369541],"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":[0.00005398906,0.0000221777,0.0004621478,0.00003360932,0.00001967745,0.0001269935,0.00004038168,0.9812119,0.002337342,0.00322192,0.0008659469,0.01160387],"study_design_scores_gemma":[0.000007782134,0.00003169676,0.0001445787,0.000004050469,0.000007599499,0.00002626238,0.00002173603,0.9982122,0.0003152815,0.0008668532,0.000358393,0.000003581446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04878733,0.0005946685,0.942013,0.0003551239,0.00006298871,0.00007465963,0.00009087431,0.0001990096,0.007822318],"genre_scores_gemma":[0.9077816,0.0004556981,0.0879415,0.0001488328,0.0000293804,0.0001422473,0.0001261547,0.00004704786,0.003327548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007561366,"threshold_uncertainty_score":0.01503468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05007393175667103,"score_gpt":0.2565281056015974,"score_spread":0.2064541738449264,"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."}}