{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003124731,0.0001988841,0.0004078237,0.0003699918,0.000175854,0.00006560535,0.0009491703,0.0001037096,0.00000148415],"category_scores_gemma":[0.00002467657,0.0001870193,0.00006874013,0.0006029668,0.0001851168,0.0001317708,0.0005902926,0.0003896281,0.000002203325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009545455,"about_ca_system_score_gemma":0.00003412203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002775615,"about_ca_topic_score_gemma":0.00004462486,"domain_scores_codex":[0.998928,0.00009784989,0.0004773371,0.0001968648,0.00008853905,0.0002114535],"domain_scores_gemma":[0.997578,0.0002365143,0.0001193613,0.001788046,0.000186946,0.00009109795],"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":[0.00002119221,0.0001555275,0.04232809,0.0001170042,0.0006254865,3.069041e-7,0.004005385,0.8295057,0.001021076,0.001968017,0.00002099154,0.1202312],"study_design_scores_gemma":[0.0001900217,0.0002126745,0.001602422,0.0002177942,0.00007965928,0.000009240309,0.0009761521,0.9963884,0.00008024472,0.00003163577,0.00003309397,0.0001787013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440426,0.003990522,0.05066361,0.00001852028,0.00003557665,0.0001923097,0.00001030459,0.0002113434,0.0008351888],"genre_scores_gemma":[0.9952859,0.002717882,0.001877839,0.000003971792,0.000007696774,0.00005454317,0.00002500419,0.00002092764,0.000006241131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1668826,"threshold_uncertainty_score":0.7626424,"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."}}