{"id":"W2093769324","doi":"10.1155/2012/236464","title":"Spatial Characterization of GNSS Multipath Channels","year":2012,"lang":"en","type":"article","venue":"International Journal of Antennas and Propagation","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multipath propagation; Fading; GNSS applications; Angle of arrival; Beamforming; Antenna (radio); Antenna array; Decorrelation; Computer science; Electronic engineering; Acoustics; Telecommunications; Channel (broadcasting); Physics; Engineering; Global Positioning System; Algorithm","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":[0.0001330418,0.0002752802,0.0001258402,0.001000232,0.0001451021,0.0002778479,0.0001461878,0.00016827,0.0007522932],"category_scores_gemma":[0.0006105013,0.00008837292,0.0001358341,0.0007639462,0.0002106164,0.0002496509,0.0002516521,0.0001326427,0.0002265421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000192215,"about_ca_system_score_gemma":0.0002714917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362705,"about_ca_topic_score_gemma":0.001427708,"domain_scores_codex":[0.9998444,0.000022605,0.0000057613,0.00002328865,0.00007767192,0.00002621171],"domain_scores_gemma":[0.9995962,0.000113449,0.0000704901,0.00003934392,0.0001652758,0.00001526898],"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":[0.0002897025,0.00006163007,0.02903838,0.0001797297,0.00004585015,0.0002758656,0.0001473915,0.3594771,0.4960227,0.007949213,0.0007104664,0.105802],"study_design_scores_gemma":[0.00001552778,0.0001997566,0.06864244,0.00001810787,0.00003438486,0.0007532728,0.0002713107,0.7671105,0.1575726,0.002488941,0.002830721,0.00006240728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7512012,0.0004117795,0.2354268,0.0001010123,0.00001584639,0.00004085763,0.000790239,0.0003993811,0.01161296],"genre_scores_gemma":[0.9797968,0.0002397207,0.01882208,0.00001713222,0.00001030567,0.00002376407,0.0003986543,0.00002112401,0.0006704477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001362705,"threshold_uncertainty_score":0.002709508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058415566598394,"score_gpt":0.2180717767360892,"score_spread":0.2074876210701052,"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."}}