{"id":"W4387885598","doi":"10.1109/tce.2023.3325131","title":"3-D Trajectory Optimization and Communication Resources Allocation in UAV-Assisted IoT Networks for Sustainable Industry 5.0","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"National Natural Science Foundation of China","keywords":"Trajectory; Computer science; Trajectory optimization; Resource allocation; Internet of Things; Computer network; Embedded system","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":[0.0002640804,0.000161601,0.0001486697,0.0003530318,0.0002583138,0.00007024148,0.0001164217,0.0003038651,0.00001553051],"category_scores_gemma":[0.000006416251,0.0001964624,0.00003726421,0.0009767598,0.00004602637,0.0001541857,0.000001344221,0.0004518423,0.000003312732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384565,"about_ca_system_score_gemma":0.00005087641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003551538,"about_ca_topic_score_gemma":0.0002650658,"domain_scores_codex":[0.9989933,0.00004786045,0.0002816299,0.0002139521,0.00009205547,0.0003712049],"domain_scores_gemma":[0.9993352,0.0001777028,0.00004532212,0.000283939,0.0001042405,0.00005364156],"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":[0.00002192543,0.00004125426,0.00002372106,0.0000377226,0.00003025475,3.029777e-7,0.0001751269,0.9892368,0.0001369863,0.0002229129,0.0002668839,0.009806059],"study_design_scores_gemma":[0.0006149586,0.00004363782,0.0003097748,0.00002491766,0.00004172458,0.000002860425,0.0003135073,0.9943858,0.0008459479,0.00007915084,0.003139281,0.0001984024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08656534,0.001094288,0.9105262,0.0002349503,0.00005456428,0.0008364185,0.000008165521,0.0005152708,0.0001648409],"genre_scores_gemma":[0.9922953,0.002884812,0.003490614,0.00004377427,0.00001597964,0.0007061136,0.00008652599,0.00005985008,0.0004170612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9070355,"threshold_uncertainty_score":0.8011502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009738123381457261,"score_gpt":0.224149354919181,"score_spread":0.2144112315377238,"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."}}