{"id":"W2331788720","doi":"10.1109/tvt.2015.2419738","title":"Measurement and Characterization of Low-Altitude Air-to-Ground MIMO Channels","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada; Defence Research and Development Canada","funders":"Air Force Research Laboratory; National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"MIMO; Decorrelation; Multipath propagation; Antenna (radio); Remote sensing; Antenna diversity; Altitude (triangle); Range (aeronautics); Antenna height considerations; Channel (broadcasting); Computer science; Electronic engineering; Acoustics; Engineering; Telecommunications; Physics; Aerospace engineering; Geology","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":[0.000104528,0.0001195451,0.0001489237,0.0003609088,0.00004766367,0.000009358672,0.00009345503,0.0001645284,0.000005697241],"category_scores_gemma":[0.000003003411,0.0001293412,0.00002509464,0.0004904148,0.00004247243,0.00007585297,0.000001398928,0.0001202762,0.00002138637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008726664,"about_ca_system_score_gemma":0.00001677294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007013657,"about_ca_topic_score_gemma":0.00001282705,"domain_scores_codex":[0.9993286,0.000009669993,0.000194993,0.0001659768,0.0001612158,0.0001395741],"domain_scores_gemma":[0.9994951,0.000003259355,0.00002901764,0.0002420628,0.0001612376,0.00006934215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002081442,0.0001943514,0.00002656846,0.00008673259,0.00009684682,0.000001887567,0.0002787792,0.4814417,0.4879791,0.0005062796,0.00002968102,0.02933724],"study_design_scores_gemma":[0.0009542684,0.0002853195,0.0006713577,0.0001280127,0.00007376073,0.00002209098,0.0001402557,0.121086,0.8729731,0.0002557079,0.003008659,0.0004014595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4043976,0.00004126158,0.5946838,0.0002619005,0.0001399294,0.0002181646,0.000007226319,0.0002212574,0.00002892728],"genre_scores_gemma":[0.9978859,0.00006600701,0.001804643,0.00003574516,0.00001445931,0.0001492854,0.000003959277,0.00002486542,0.00001510428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5934883,"threshold_uncertainty_score":0.5274381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373102155350605,"score_gpt":0.2049243594131664,"score_spread":0.1911933378596603,"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."}}