{"id":"W2174922382","doi":"10.1109/tap.2015.2491323","title":"A GNSS Antenna With a Polarization Selective Surface for the Mitigation of Low-Angle Multipath Interference","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multipath propagation; Physics; Polarization (electrochemistry); Computer science; Antenna (radio); Azimuth; GNSS applications; Optics; Global Positioning System; Topology (electrical circuits); Telecommunications; Channel (broadcasting); Electrical engineering; Engineering","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":[0.0001332613,0.0001349533,0.0001422745,0.00006808394,0.0001052892,0.00002114113,0.00006982342,0.00006631396,0.000001016576],"category_scores_gemma":[0.00001965543,0.00009077965,0.00003201364,0.0002662689,0.0001111499,0.0002261526,8.027135e-7,0.0001296246,0.000001117618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003731717,"about_ca_system_score_gemma":0.00002758928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001183595,"about_ca_topic_score_gemma":0.00007022867,"domain_scores_codex":[0.9994107,0.00001991764,0.0001666928,0.0001484016,0.0001087357,0.0001455243],"domain_scores_gemma":[0.9994224,0.00008443015,0.00006078631,0.0001277992,0.0002654123,0.0000392206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006552088,0.0001911371,0.0003898372,0.0002786165,0.0002114353,0.000001514973,0.003106138,0.1183119,0.8205895,0.0005916537,0.00001868597,0.05565432],"study_design_scores_gemma":[0.0009097669,0.0005868533,0.0002696652,0.000174626,0.00005833786,0.00001023697,0.002026178,0.6708388,0.3245075,0.0004035892,0.00002926456,0.0001852388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2106707,0.000166034,0.7882527,0.0001287878,0.0001123426,0.0004669155,0.00002853992,0.0001583191,0.00001564359],"genre_scores_gemma":[0.9953858,0.0001429206,0.004311026,0.00001413548,0.000006767863,0.00005732023,0.000005765334,0.00002082019,0.00005542772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7847151,"threshold_uncertainty_score":0.3701887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970783380034417,"score_gpt":0.2325986821751795,"score_spread":0.2128908483748353,"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."}}