{"id":"W1897889811","doi":"10.1002/wcm.2580","title":"Impact of TH‐UWB interference on MB‐OFDM UWB systems: interference modeling and performance analysis","year":2015,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Interference (communication); Orthogonal frequency-division multiplexing; Computer science; Additive white Gaussian noise; Noise (video); Channel (broadcasting); Context (archaeology); Ultra-wideband; Multiplexing; Electronic engineering; Telecommunications; Topology (electrical circuits); Mathematics; Engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008032011,0.0008549254,0.000574339,0.0005046812,0.0003908199,0.0007900787,0.0006624742,0.0008298188,0.0008178058],"category_scores_gemma":[0.002249179,0.0002278221,0.0005251074,0.0005900512,0.0005282873,0.0008552435,0.000662545,0.0007292725,0.0002411383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000791392,"about_ca_system_score_gemma":0.0004891572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004509523,"about_ca_topic_score_gemma":0.001249441,"domain_scores_codex":[0.9994195,0.0001843579,0.00001705193,0.00005625219,0.000246124,0.00007683163],"domain_scores_gemma":[0.9989919,0.000509832,0.0001774387,0.00008903266,0.0002036455,0.000028155],"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":[0.00008102675,0.00004766111,0.00195395,0.0000624397,0.0000426054,0.0002217113,0.00009035042,0.9670694,0.006184703,0.009193613,0.000348963,0.0147036],"study_design_scores_gemma":[8.65844e-7,0.00001339975,0.0001426641,0.000002456595,0.000005048191,0.0000239368,0.000006786544,0.9986746,0.0006701161,0.0003908009,0.00006651127,0.000002776155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.247517,0.002330753,0.7334136,0.0003027312,0.00007074065,0.00004266421,0.00006688698,0.0004186629,0.01583689],"genre_scores_gemma":[0.9904473,0.0004769413,0.007902021,0.0000296196,0.0000266316,0.00001679128,0.00002273345,0.00001752729,0.001060442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004509523,"threshold_uncertainty_score":0.008966506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03463306210738769,"score_gpt":0.2812648587275188,"score_spread":0.2466317966201311,"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."}}