{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001805163,0.000328386,0.0002509699,0.0001841189,0.000351753,0.0004077892,0.0003685949,0.0003750446,0.0003580517],"category_scores_gemma":[0.0006490932,0.0001296044,0.0002487236,0.0001526511,0.000245145,0.0004358445,0.0003599889,0.0002226268,0.00008238741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003060968,"about_ca_system_score_gemma":0.0003521085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006341932,"about_ca_topic_score_gemma":0.004148422,"domain_scores_codex":[0.9998827,0.00002620122,0.000004330928,0.00002038857,0.00002256647,0.0000438702],"domain_scores_gemma":[0.9997957,0.00007506899,0.00005378433,0.00002620734,0.00002662355,0.00002263905],"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":[0.00005163925,0.00002062719,0.004567266,0.0000145525,0.00001312977,0.0002679739,0.00005593677,0.9801046,0.007586158,0.0006519041,0.000113724,0.006552525],"study_design_scores_gemma":[0.000007395197,0.00004814077,0.001788832,0.000001646271,0.00000676684,0.00004709565,0.00006760374,0.9954181,0.002216948,0.0002271188,0.0001647068,0.00000561609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9042784,0.0001163009,0.0922229,0.0001247965,0.00001904737,0.00002726906,0.00005570157,0.0002655126,0.002889991],"genre_scores_gemma":[0.9969603,0.00003141829,0.002776928,0.000006691203,0.000001794946,0.000004644657,0.00001535017,0.000004561533,0.0001982516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006341932,"threshold_uncertainty_score":0.01261002,"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."}}