{"id":"W4402300093","doi":"10.1109/tits.2024.3450538","title":"Resource Block-Based Co-Design of Trajectory and Communication in UAV-Assisted Data Collection Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Key Research and Development Program of China; Key Research and Development Program of Jiangxi Province","keywords":"Trajectory; Block (permutation group theory); Computer science; Resource (disambiguation); Data collection; Distributed computing; Computer network; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004025541,0.0001787662,0.000219397,0.0004533592,0.00008938349,0.00006287869,0.0001804111,0.000159043,0.00002502834],"category_scores_gemma":[0.000001297176,0.0001968385,0.00004387509,0.0008061801,0.00005362271,0.0001913282,2.291641e-7,0.0002519552,0.00000484868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009379408,"about_ca_system_score_gemma":0.00004240111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000162987,"about_ca_topic_score_gemma":0.000244766,"domain_scores_codex":[0.9986032,0.0001104208,0.0006644307,0.0002911432,0.0001893185,0.0001415029],"domain_scores_gemma":[0.999061,0.0002841329,0.00005755152,0.0004904793,0.00005467074,0.00005219321],"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":[0.00004301498,0.00007575106,0.00002802746,0.0002388725,0.00005273132,0.00000129883,0.0005447007,0.9944781,0.0006241743,0.00006543696,0.0003516175,0.003496261],"study_design_scores_gemma":[0.0002368242,0.00004850985,0.0003237842,0.0003727475,0.00006940322,0.000003689148,0.0003861933,0.9934545,0.003620366,0.000003715117,0.001310202,0.0001700654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005651467,0.001454252,0.9912339,0.00002951361,0.0002645451,0.0007858928,0.000138865,0.0003073542,0.0001342496],"genre_scores_gemma":[0.9966376,0.0009861175,0.001668067,0.000007291781,0.00001686957,0.0002297093,0.0003461647,0.00004801263,0.00006020596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9909861,"threshold_uncertainty_score":0.8026839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996540971831009,"score_gpt":0.2603235288169545,"score_spread":0.2203581190986444,"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."}}