{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001540254,0.0002366677,0.0001564901,0.0003446356,0.0001664441,0.0002185069,0.0001724804,0.0002338556,0.0005666974],"category_scores_gemma":[0.000432722,0.0000770567,0.00007002171,0.000267405,0.0001768885,0.0001734766,0.000214711,0.0002383678,0.000158506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113305,"about_ca_system_score_gemma":0.0001608949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093543,"about_ca_topic_score_gemma":0.002450453,"domain_scores_codex":[0.9998028,0.0000275192,0.00000455302,0.00003196097,0.00007975288,0.00005352313],"domain_scores_gemma":[0.9995926,0.000159881,0.00006105062,0.00003896125,0.0001028757,0.0000447775],"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":[0.0004161181,0.0001592709,0.05277566,0.0001239489,0.00003184549,0.0003885299,0.0003392896,0.02270565,0.8932569,0.0007658116,0.0004203273,0.0286166],"study_design_scores_gemma":[0.00008879125,0.00145465,0.332128,0.00002804785,0.00006432812,0.0006828399,0.000524176,0.1906527,0.4708887,0.0006081188,0.002803402,0.00007624057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808037,0.00004891208,0.01698671,0.00002506592,0.000009800204,0.00002164516,0.0003012175,0.0001124329,0.001690592],"genre_scores_gemma":[0.9967073,0.00002461683,0.002881072,0.000008107016,0.000003537804,0.000007750176,0.0001086181,0.000004259466,0.000254845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001093543,"threshold_uncertainty_score":0.002174377,"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."}}