{"id":"W4386920793","doi":"10.1109/iswta58588.2023.10249725","title":"Latency and Cost Minimization for Task Offloading with Energy Harvesting in UAV-MEC Network","year":2023,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Minification; Latency (audio); Task (project management); Energy minimization; Computer network; Energy cost; Real-time computing; Embedded system; Telecommunications; Engineering","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":[0.0002849119,0.00009142833,0.0001116494,0.0001044891,0.0001616812,0.0001575415,0.0001771402,0.0000359355,4.060963e-7],"category_scores_gemma":[0.00003825304,0.00007837755,0.00001406978,0.0008075194,0.00001399583,0.0002924836,0.0001407872,0.00004364293,0.000003072907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000017671,"about_ca_system_score_gemma":0.00003294947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001402965,"about_ca_topic_score_gemma":0.00007256678,"domain_scores_codex":[0.9991092,0.00002367228,0.0001624784,0.0002764851,0.00008664728,0.0003414999],"domain_scores_gemma":[0.9995176,0.0002156862,0.00005177399,0.0001265967,0.0000403268,0.00004802632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003713146,0.00004082891,0.09094753,0.0001090411,0.00003992979,0.00006566518,0.003147984,0.09902833,0.0004614675,0.0388891,0.04918448,0.7180485],"study_design_scores_gemma":[0.0003422512,0.00004874948,0.00446753,0.00007472906,0.000002372866,0.000007162778,0.00001444283,0.979641,0.00009430998,0.001264948,0.01389755,0.0001449183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02935999,0.00004110676,0.9651509,0.000381668,0.001697482,0.0001511606,7.764237e-8,0.0002921159,0.002925499],"genre_scores_gemma":[0.7237301,0.00004256584,0.2634721,0.0009145514,0.004107347,0.00008541908,0.00002965138,0.00005507032,0.007563192],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8806127,"threshold_uncertainty_score":0.3196144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831272787663821,"score_gpt":0.2240170722819219,"score_spread":0.2057043444052837,"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."}}