{"id":"W2019414701","doi":"10.1109/upinlbs.2014.7033712","title":"Characterization of GNSS measurement distortions due to antenna array processing in the presence of interference signals","year":2014,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Interference (communication); Antenna (radio); Computer science; Electronic engineering; Directional antenna; Antenna array; Array processing; Electromagnetic interference; Coupling (piping); Null (SQL); Signal processing; Telecommunications; Global Positioning System; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002689054,0.00006812489,0.0001175528,0.00006011998,0.00001895931,0.00001699961,0.0001632765,0.00002205002,0.00001510045],"category_scores_gemma":[0.000098873,0.00005126823,0.00001907634,0.0001933665,0.00002218555,0.0001051166,0.00001064658,0.0000628883,0.000004330297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002242229,"about_ca_system_score_gemma":0.0000138078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001916834,"about_ca_topic_score_gemma":0.00004697876,"domain_scores_codex":[0.9993438,0.00004482939,0.0002537915,0.00008989202,0.0001715205,0.0000961609],"domain_scores_gemma":[0.9995986,0.00002061792,0.00004311935,0.0001457177,0.0001715123,0.00002044176],"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":[0.000004031934,0.00003518265,0.0003346695,0.00008636449,0.000002654231,1.156229e-7,0.001714315,0.0007125055,0.9949825,0.000268825,0.00001710479,0.001841747],"study_design_scores_gemma":[0.0001004578,0.0001084369,0.05978324,0.0009785988,0.00000989096,0.00000438009,0.0002533415,0.03233785,0.905978,0.0002341173,0.00007954187,0.0001321782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4176526,0.00001392365,0.5787383,0.00008639292,0.00005042531,0.0000825166,0.000003352907,0.00002453906,0.003347897],"genre_scores_gemma":[0.9995685,0.000003099624,0.0003303531,0.00003005938,0.00001262575,0.00002246006,0.000003586169,0.000005819954,0.00002345302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5819159,"threshold_uncertainty_score":0.2090658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483116564521948,"score_gpt":0.2253865723437562,"score_spread":0.2005554066985367,"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."}}