{"id":"W2960485202","doi":"10.48550/arxiv.1902.08542","title":"How Do Non-Ideal UAV Antennas Affect Air-to-Ground Communications?","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of British Columbia","funders":"","keywords":"Antenna (radio); Side lobe; Interference (communication); Computer science; Antenna diversity; Main lobe; Telecommunications; Channel (broadcasting); Electronic engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001028096,0.0006152408,0.0007080562,0.0002934083,0.0005914845,0.001360961,0.0006775545,0.000986067,0.001675856],"category_scores_gemma":[0.009606222,0.000330444,0.0002884029,0.0004920805,0.001457454,0.001884995,0.000837605,0.0008368344,0.0004568632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008636984,"about_ca_system_score_gemma":0.0004826873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001829698,"about_ca_topic_score_gemma":0.001502241,"domain_scores_codex":[0.9991329,0.0002889675,0.0000240622,0.00010808,0.0002007701,0.0002451958],"domain_scores_gemma":[0.9953111,0.003035098,0.0006625419,0.0003598829,0.0005050823,0.0001263747],"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":[0.0002299035,0.00006791786,0.01113797,0.000183608,0.00007033988,0.0005423481,0.0002391714,0.9243104,0.01689948,0.02904628,0.00153806,0.01573447],"study_design_scores_gemma":[0.00002598308,0.0002618366,0.01029746,0.00007755996,0.00007598616,0.0007109531,0.0007272467,0.9448231,0.01827912,0.02256501,0.002079941,0.00007581258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6795974,0.002375223,0.2785047,0.001467242,0.0002753117,0.00005606627,0.0003237672,0.0003254303,0.03707501],"genre_scores_gemma":[0.9968601,0.0003269781,0.002189977,0.00006037531,0.00001603497,0.000006994318,0.00002525122,0.00002145859,0.0004928184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001829698,"threshold_uncertainty_score":0.006266594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341195852369401,"score_gpt":0.1832183607647477,"score_spread":0.1398064022410537,"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."}}