{"id":"W4205681265","doi":"10.1109/tvt.2022.3143174","title":"Resource Allocation for URLLC-Oriented Two-Way UAV Relaying","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Flexibility (engineering); Resource allocation; Optimization problem; Constraint (computer-aided design); Mathematical optimization; Resource management (computing); Software deployment; Wireless; Transmission (telecommunications); Distributed computing; Computer network; Engineering; Algorithm; Telecommunications; Mathematics","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":[0.0006233672,0.0008963614,0.0008359211,0.0005168023,0.0005158411,0.001118964,0.0008694835,0.0006803429,0.001573776],"category_scores_gemma":[0.00125906,0.0003386104,0.0003981222,0.0006642418,0.0005056245,0.001007852,0.0009009212,0.0004770701,0.0002902569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008807707,"about_ca_system_score_gemma":0.0009424714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003116073,"about_ca_topic_score_gemma":0.003526021,"domain_scores_codex":[0.9994523,0.0001861481,0.00002803716,0.00009897676,0.0001134402,0.0001211377],"domain_scores_gemma":[0.9995571,0.0002046827,0.00007775897,0.00003281059,0.00009554753,0.0000319883],"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":[0.0001238029,0.00006258327,0.0005781254,0.0001580887,0.00004131376,0.0002867043,0.0001356568,0.9275497,0.01231184,0.01316526,0.001660489,0.04392648],"study_design_scores_gemma":[0.000009790814,0.0000380365,0.00008073895,0.000003984592,0.000009612666,0.00005558142,0.00002287047,0.9970074,0.001083988,0.001303846,0.0003766673,0.000007412694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04616153,0.0009344002,0.9450027,0.0002289893,0.00005288855,0.00007882828,0.00005057182,0.0002263815,0.007263692],"genre_scores_gemma":[0.934908,0.0005128252,0.06203705,0.00005574556,0.00003422584,0.000090475,0.00004552633,0.00002863535,0.002287501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003116073,"threshold_uncertainty_score":0.006390512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083041089387318,"score_gpt":0.2373069033760594,"score_spread":0.2264764924821862,"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."}}