{"id":"W2909315870","doi":"10.1109/apusncursinrsm.2018.8608937","title":"Interference rejection with Time Modulated Array for GPS application","year":2018,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Global Positioning System; Interference (communication); Computer science; Electronic engineering; Telecommunications; 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":[0.00003304517,0.00006991003,0.00005801247,0.00003489933,0.00004548235,0.00002450424,0.00006048227,0.00003682698,0.00006294663],"category_scores_gemma":[0.00000420165,0.00005761095,0.00001252672,0.00008243782,0.0000257177,0.00008887979,0.000003160608,0.00004048947,0.000247631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002849148,"about_ca_system_score_gemma":0.000004011403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000142796,"about_ca_topic_score_gemma":0.00001336811,"domain_scores_codex":[0.9996647,0.000003479031,0.00008022006,0.0001135527,0.0000358033,0.0001022216],"domain_scores_gemma":[0.9997377,0.00001080611,0.0000125815,0.0001244442,0.00008998236,0.00002442283],"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":[0.00006639932,0.00002537731,0.0001055797,0.00003051785,0.0000428497,5.216104e-8,0.0003363102,0.002482294,0.981981,0.001016577,0.005511779,0.008401262],"study_design_scores_gemma":[0.0001989077,0.0004035421,0.0006172132,0.00005394325,0.00001078236,0.000007366868,0.00001968083,0.457772,0.5385209,0.0005510917,0.00168178,0.0001628213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09554341,0.000003776667,0.8628953,0.00002549884,0.00007116881,0.0001346713,0.000002256939,0.000419239,0.0409047],"genre_scores_gemma":[0.9924486,9.360452e-7,0.006162525,0.00002107319,0.00008267305,0.00006045632,0.00001846497,0.00001433067,0.001190975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8969051,"threshold_uncertainty_score":0.3182878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006869091789241617,"score_gpt":0.2044906365474993,"score_spread":0.1976215447582577,"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."}}