{"id":"W4382456821","doi":"10.3390/drones7070423","title":"UAV Communication Recovery under Meteorological Conditions","year":2023,"lang":"en","type":"article","venue":"Drones","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Environmental science; Attenuation; Meteorology; RADIUS; Path loss; Snow; Elevation (ballistics); Computer science; Mathematics; Telecommunications; Geography; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005979637,0.00004762614,0.0000528112,0.00005692551,0.00008443304,0.00001892546,0.00007853509,0.00004827338,0.0001488904],"category_scores_gemma":[0.000007085502,0.00004770121,0.00002108393,0.0002616039,0.00002239054,0.00008020693,0.00001820216,0.00005077932,0.0005434697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001912601,"about_ca_system_score_gemma":0.000003113347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005529334,"about_ca_topic_score_gemma":0.00001162419,"domain_scores_codex":[0.9997097,0.00001260735,0.00008736686,0.00006155158,0.0000426859,0.00008611861],"domain_scores_gemma":[0.999696,0.00006125875,0.00001030241,0.0001951705,0.00001681466,0.00002041577],"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":[0.000002103827,0.00002299582,0.000223044,0.00001250312,0.00003508661,5.472569e-7,0.0001262401,0.9121259,0.003066934,0.05033719,0.03099886,0.003048539],"study_design_scores_gemma":[0.0004932031,0.000048361,0.09200483,0.00002391956,0.0000558874,0.000008459441,0.0006428848,0.7540694,0.002262938,0.09582217,0.05404958,0.0005183953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8282468,0.0005220845,0.1252078,0.002713725,0.0003245689,0.0004265439,0.00008575954,0.003679324,0.0387934],"genre_scores_gemma":[0.9967284,0.0005402988,0.001745682,0.00005831787,0.0000218824,0.00009204785,0.0004139313,0.0000128054,0.0003865863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1684817,"threshold_uncertainty_score":0.6985385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708440780631381,"score_gpt":0.2394263427912184,"score_spread":0.2223419349849046,"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."}}