{"id":"W3126035479","doi":"10.1109/jiot.2021.3127150","title":"Joint Transmission Scheme and Coded Content Placement in Cluster-Centric UAV-Aided Cellular Networks","year":2021,"lang":"en","type":"preprint","venue":"IEEE Internet of Things Journal","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; University of Toronto; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Cache; Node (physics); Real-time computing; Cellular network; Cluster analysis","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":[0.0003819112,0.0004969353,0.0004447143,0.0005480113,0.0004600633,0.0006575828,0.000839224,0.000430917,0.0004881646],"category_scores_gemma":[0.002086137,0.0001957938,0.0002088829,0.0008718511,0.0005546552,0.0005746925,0.000506243,0.0002370078,0.0001091302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122773,"about_ca_system_score_gemma":0.0007508887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01118711,"about_ca_topic_score_gemma":0.01060075,"domain_scores_codex":[0.9996004,0.0001169379,0.0000122459,0.00007230718,0.0001039906,0.00009409226],"domain_scores_gemma":[0.9988818,0.0004557609,0.0001730836,0.0001386495,0.0002946383,0.00005612063],"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":[0.0001522398,0.00002614396,0.001194703,0.00003221155,0.0000214396,0.0001160853,0.00005730348,0.9721863,0.007308275,0.003341935,0.0003900135,0.01517342],"study_design_scores_gemma":[0.000004448902,0.00004578258,0.0002277304,0.000002060088,0.000007563199,0.00003432095,0.0000232046,0.9966145,0.002308222,0.0005677154,0.0001580391,0.000006332036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5049189,0.0004768966,0.4907987,0.0001011627,0.00005732856,0.00007742911,0.000122895,0.0003546331,0.003092161],"genre_scores_gemma":[0.9818479,0.00005627887,0.01765443,0.00001324809,0.000004679489,0.00001452832,0.00003107244,0.000006024196,0.000371893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01118711,"threshold_uncertainty_score":0.02224398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03548938173767595,"score_gpt":0.2308679630689854,"score_spread":0.1953785813313095,"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."}}