{"id":"W4406437297","doi":"10.3390/jsan14010008","title":"Edge Computing-Aided Dynamic Wireless Charging and Trip Planning of UAVs","year":2025,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Wireless; Edge computing; Real-time computing; Artificial intelligence; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001551611,0.0003370236,0.0003062474,0.0002188342,0.0003335963,0.0005338559,0.0005395789,0.0002050859,0.001118115],"category_scores_gemma":[0.0004416333,0.0001307223,0.0001747203,0.0002987888,0.0001654924,0.0004523959,0.0004275446,0.0002606982,0.0002118288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220425,"about_ca_system_score_gemma":0.0004693358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003542754,"about_ca_topic_score_gemma":0.00487925,"domain_scores_codex":[0.9998972,0.0000173511,0.000004833017,0.0000202978,0.00002265318,0.00003761723],"domain_scores_gemma":[0.9998707,0.00004027194,0.00001520542,0.0000202648,0.00003821837,0.00001527329],"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":[0.0002624067,0.00006541288,0.002549072,0.00006496527,0.00002373041,0.0002170964,0.00009485278,0.8517581,0.02181,0.006140997,0.00177277,0.1152406],"study_design_scores_gemma":[0.000004596781,0.00004375328,0.0002845523,0.000001660799,0.000004874902,0.00002870209,0.00002531608,0.9937942,0.00408547,0.0007973933,0.000925524,0.000004063809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2432439,0.0002809789,0.7413545,0.0002117169,0.0001069386,0.00008755513,0.0001117533,0.0009104428,0.01369214],"genre_scores_gemma":[0.9788042,0.00004868498,0.02000421,0.0000247294,0.000005939121,0.00001516615,0.00003765702,0.00001671192,0.001042825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003542754,"threshold_uncertainty_score":0.007044256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004206684277054816,"score_gpt":0.2220406077080555,"score_spread":0.2178339234310007,"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."}}