{"id":"W1988661175","doi":"10.1155/2012/348982","title":"Analysis and Mitigation of the Narrowband Interference Impact on IR‐UWB Communication Systems","year":2012,"lang":"en","type":"article","venue":"Journal of Electrical and Computer Engineering","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Narrowband; Interference (communication); Electronic engineering; Computer science; Adjacent-channel interference; Engineering; Telecommunications; Channel (broadcasting)","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":[0.000160538,0.0000855834,0.0002059748,0.0002406464,0.00002875126,0.00002089979,0.0002048185,0.0000552835,8.50752e-7],"category_scores_gemma":[0.00001716549,0.00005677725,0.00007106939,0.0004659202,0.00002060308,0.0001082736,0.00003457366,0.0002767947,1.468758e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004126293,"about_ca_system_score_gemma":0.000004814192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004633971,"about_ca_topic_score_gemma":4.891352e-7,"domain_scores_codex":[0.9994738,0.00003239327,0.0002638922,0.00003664543,0.00008063117,0.0001127108],"domain_scores_gemma":[0.9994476,0.0001642589,0.00008846754,0.0002032593,0.00004674318,0.00004961394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004484104,0.0002116956,0.1774109,0.0001396677,0.002442883,0.000001146223,0.001442814,0.73259,0.02386248,0.00724025,0.0002934768,0.05431984],"study_design_scores_gemma":[0.0001757745,0.0001390933,0.2032091,0.00009604442,0.0001498446,0.00008694824,0.000008664719,0.7927667,0.003122821,0.00004080254,0.0001048607,0.00009941417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.906332,0.004053541,0.08942236,0.00004385231,0.00006767549,0.0000393872,7.17411e-7,0.00002150745,0.00001899428],"genre_scores_gemma":[0.9984248,0.0003355058,0.00119041,0.00000521044,0.00003385192,0.000001754143,5.475443e-7,0.000006424664,0.000001496249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09209283,"threshold_uncertainty_score":0.2315309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004635476225331859,"score_gpt":0.1997870155581058,"score_spread":0.1951515393327739,"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."}}