{"id":"W2067437011","doi":"10.1109/glocom.2011.6134228","title":"A Direct Sequence Design for Narrowband Interference Mitigation in Impulse Radio UWB Systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Narrowband; Bandwidth (computing); Computer science; Electronic engineering; Direct-sequence spread spectrum; Wireless; Spread spectrum; Telecommunications; Channel (broadcasting); 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":[0.0001761356,0.0000970883,0.0001362332,0.0001342243,0.00002668233,0.00001493822,0.0003149929,0.00009345736,0.00001557582],"category_scores_gemma":[0.00005258476,0.0000941718,0.00002250483,0.0001819568,0.00003924758,0.0001255479,0.00001582515,0.00009656621,0.00001209775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008515648,"about_ca_system_score_gemma":0.0000144608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001553337,"about_ca_topic_score_gemma":0.0001065349,"domain_scores_codex":[0.9994335,0.00003511855,0.0002108211,0.0001190329,0.00003377379,0.0001677846],"domain_scores_gemma":[0.9994083,0.0001243907,0.00002203699,0.0003878261,0.00003206044,0.00002540221],"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":[0.0002368262,0.00041783,0.01363237,0.0009022382,0.0003727331,0.00002521837,0.01873122,0.04667483,0.7727102,0.08309451,0.007509269,0.05569277],"study_design_scores_gemma":[0.00108873,0.0003193627,0.001136727,0.000319186,0.00003104572,0.00006717451,0.0009997456,0.4698553,0.5184289,0.005776334,0.001241416,0.0007360742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1796639,0.001143336,0.8006321,0.00005628971,0.0002734856,0.001022996,0.000008862444,0.001128332,0.01607076],"genre_scores_gemma":[0.9804118,0.00007221151,0.01894813,0.000007139357,0.000006566042,0.0004167035,0.000004633402,0.00001706812,0.0001157336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8007479,"threshold_uncertainty_score":0.3840215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05597492309645975,"score_gpt":0.2408006016181988,"score_spread":0.1848256785217391,"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."}}