{"id":"W2913324614","doi":"10.1109/icces.2018.8639399","title":"A Comprehensive Study of the Effects of Linear Chirp Jamming on GNSS Receivers under High-Dynamic Scenarios","year":2018,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"GNSS applications; Jamming; Chirp; Computer science; Global Positioning System; GLONASS; Interference (communication); Electronic engineering; Satellite navigation; SIGNAL (programming language); Engineering; Telecommunications","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":[0.00002167884,0.00009627783,0.0001437942,0.00004912836,0.00005676505,0.000005428343,0.0001523465,0.00003704163,0.00001746101],"category_scores_gemma":[0.0000183166,0.00006769736,0.00003492266,0.000120961,0.00006070251,0.0000312211,0.00003417517,0.0001141548,0.0000179157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000313678,"about_ca_system_score_gemma":0.000006435536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001999919,"about_ca_topic_score_gemma":0.00006236407,"domain_scores_codex":[0.9994882,0.00003620369,0.0001389677,0.0001033551,0.0001242718,0.0001090279],"domain_scores_gemma":[0.9995154,0.0001069183,0.00003495324,0.0002420594,0.00008030817,0.00002038402],"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":[0.0002665091,0.001835823,0.003161835,0.00140818,0.001361875,0.000006565556,0.03494863,0.2574834,0.6860279,0.002049997,0.002299128,0.009150197],"study_design_scores_gemma":[0.004003903,0.008550454,0.2964732,0.002053324,0.000196369,0.000006597968,0.007719225,0.1781313,0.5018688,0.0002449503,0.000124475,0.0006274426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963771,0.00001184081,0.0005281538,0.00001282079,0.0004808787,0.0002222708,0.000001407814,0.00005854799,0.002306962],"genre_scores_gemma":[0.9996229,0.000004232733,0.0001457196,0.0000319486,0.00002118415,0.000004326795,6.949055e-7,0.00001284183,0.0001561299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2933113,"threshold_uncertainty_score":0.2760618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007353375339485835,"score_gpt":0.2228157737586854,"score_spread":0.2154623984191995,"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."}}