{"id":"W2883375722","doi":"10.3390/s18082413","title":"UAV Based Relay for Wireless Sensor Networks in 5G Systems","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Relay; Wireless sensor network; Computer science; Leverage (statistics); Wireless; Base station; Energy consumption; Power consumption; Computer network; Real-time computing; Power (physics); Engineering; Telecommunications; Electrical 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":[0.00009590546,0.0000867196,0.0001056839,0.00006615138,0.00004338599,0.00002334727,0.00005376833,0.00009170041,0.000009726002],"category_scores_gemma":[0.000008131092,0.00008923976,0.00002517955,0.0002050703,0.00002131094,0.00002749642,0.000002881919,0.00005917999,0.00002510367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004736173,"about_ca_system_score_gemma":0.000005933447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004023529,"about_ca_topic_score_gemma":0.0000482635,"domain_scores_codex":[0.9994691,0.0000128769,0.0001634288,0.0001231518,0.00005001046,0.0001814164],"domain_scores_gemma":[0.9996547,0.0000569305,0.0000209865,0.0001798268,0.00005252927,0.00003509772],"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":[0.000006286035,0.000006921596,0.0002513205,0.00002387901,0.000004872964,4.612114e-7,0.000047195,0.9977446,0.0002205157,0.0003300271,0.0007411786,0.0006227233],"study_design_scores_gemma":[0.0002625072,0.00001595242,0.0004777232,0.0000252023,0.000005407903,0.000001007021,0.00004949916,0.9921666,0.0005114989,0.000003898572,0.006370998,0.0001097483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6524309,0.00009036782,0.3429368,0.00006167835,0.0005411131,0.0006547856,0.00001524597,0.0003105817,0.002958518],"genre_scores_gemma":[0.9950913,0.0000136837,0.004172285,0.00002270487,0.0002637359,0.00007593408,0.00002491143,0.00003662068,0.0002988427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3426604,"threshold_uncertainty_score":0.3639092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007412677579361529,"score_gpt":0.2055634853141079,"score_spread":0.1981508077347464,"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."}}