{"id":"W2124636677","doi":"10.1109/pacrim.2007.4313241","title":"WiMAX Interference to MB-OFDM UWB Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Orthogonal frequency-division multiplexing; WiMAX; Interference (communication); Electronic engineering; Computer science; Bit error rate; Ultra-wideband; Additive white Gaussian noise; Gaussian noise; Algorithm; Telecommunications; Engineering; Decoding methods; Wireless","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":[0.0005748259,0.0008561751,0.0008557323,0.0006176776,0.0005224484,0.0009864391,0.0004775934,0.0008311095,0.002136663],"category_scores_gemma":[0.003506841,0.0003099508,0.000408723,0.0007889975,0.0007974511,0.0008695033,0.000701535,0.0007859407,0.0007260062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00070407,"about_ca_system_score_gemma":0.0004586221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001744475,"about_ca_topic_score_gemma":0.001130404,"domain_scores_codex":[0.9991826,0.0001985696,0.00001962795,0.00006586305,0.0003865157,0.0001467667],"domain_scores_gemma":[0.9989786,0.0006574462,0.00009590238,0.00005926964,0.0001892009,0.00001964923],"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":[0.0008042245,0.0001035412,0.004570244,0.0004154995,0.000143775,0.001634345,0.0003965626,0.7583581,0.04040678,0.1104441,0.001484217,0.08123857],"study_design_scores_gemma":[0.00001938407,0.0001800328,0.002173501,0.00004600858,0.00007907861,0.0007826909,0.00007310619,0.9675397,0.01056359,0.01412003,0.004398171,0.00002474541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2138457,0.005467223,0.7364054,0.0004117881,0.0001573466,0.00005966715,0.0001146476,0.0005312345,0.04300691],"genre_scores_gemma":[0.9754812,0.002371451,0.01645098,0.000180234,0.0002032943,0.00004986699,0.00005438013,0.0001073692,0.00510135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002136663,"threshold_uncertainty_score":0.007147908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031807195214619,"score_gpt":0.2265666947280225,"score_spread":0.2162486227758763,"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."}}