{"id":"W4413426527","doi":"10.3390/s25175234","title":"Cooperative Schemes for Joint Latency and Energy Consumption Minimization in UAV-MEC Networks","year":2025,"lang":"en","type":"article","venue":"Sensors","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Energy consumption; Joint (building); Latency (audio); Energy minimization; Minification; Computer science; Energy (signal processing); Embedded system; Real-time computing; Engineering; Telecommunications; Electrical engineering; Structural engineering; Mathematics; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003701688,0.00006786689,0.00008342187,0.00008607517,0.00004051599,0.00001974612,0.00001853036,0.0000647964,0.00001051689],"category_scores_gemma":[0.00001373323,0.00007152261,0.0000119167,0.0001558614,0.00001673362,0.00004406595,0.00000670802,0.00003481216,8.700467e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002865126,"about_ca_system_score_gemma":0.000006167161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001047843,"about_ca_topic_score_gemma":0.00005134271,"domain_scores_codex":[0.9996395,0.000009761472,0.0001365301,0.0001037761,0.00002227145,0.00008816808],"domain_scores_gemma":[0.9998328,0.00003143947,0.00001406932,0.00006578913,0.00004091006,0.00001498583],"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":[0.000005809558,0.000008623851,0.0006365362,0.00002544716,0.00001118686,1.459125e-7,0.0000690946,0.9782984,0.0002373298,0.01135213,0.0003894287,0.008965866],"study_design_scores_gemma":[0.0002796972,0.000006365163,0.001697993,0.00002362309,0.000008687985,3.729617e-7,0.00002932126,0.9930497,0.001001122,0.0001283968,0.003703162,0.00007152074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2953502,0.000754852,0.7015499,0.0001583582,0.0001458412,0.0002580798,0.00000820246,0.0001349167,0.001639649],"genre_scores_gemma":[0.9917347,0.001062853,0.006490914,0.0000468037,0.00002575556,0.00008271094,0.00007196433,0.0000125616,0.000471728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6963845,"threshold_uncertainty_score":0.2916607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00874728278447617,"score_gpt":0.2156799038473471,"score_spread":0.2069326210628709,"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."}}