{"id":"W2112159376","doi":"10.1109/glocom.2008.ecp.756","title":"Optimal Error Rate Performance of Binary TH-UWB Receivers in Multiuser Interference","year":2008,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Interference (communication); Binary number; Probability density function; Computer science; Gaussian; Maximum a posteriori estimation; Algorithm; Bit error rate; Function (biology); Electronic engineering; Mathematics; Maximum likelihood; Telecommunications; Decoding methods; Statistics; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002417717,0.0007007165,0.001005667,0.0004637068,0.000382418,0.001278921,0.0006768352,0.00163293,0.0009357958],"category_scores_gemma":[0.006972833,0.0002873588,0.0003391721,0.0004052575,0.0009477075,0.0009218613,0.0007753441,0.0005973183,0.0004448197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006547397,"about_ca_system_score_gemma":0.0005376214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007002989,"about_ca_topic_score_gemma":0.0003759844,"domain_scores_codex":[0.9986843,0.0005876958,0.00006346479,0.0001251002,0.000380625,0.0001588198],"domain_scores_gemma":[0.9968388,0.002248288,0.0002692928,0.0002221175,0.0003716407,0.00004997179],"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":[0.001091569,0.00009409547,0.002047974,0.0003876516,0.00008951891,0.0003226259,0.0004518818,0.8486045,0.03608639,0.0681734,0.0004834536,0.04216697],"study_design_scores_gemma":[0.00002723357,0.0001354576,0.0003571789,0.00003140232,0.00002166934,0.0001686363,0.00005051803,0.975296,0.01706057,0.006556406,0.000272246,0.00002262508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2607371,0.002271793,0.7254218,0.0003226168,0.00006100192,0.00002873884,0.00007165143,0.0004731845,0.01061213],"genre_scores_gemma":[0.9679585,0.0004626952,0.0301236,0.00003864627,0.00002257758,0.00001747338,0.00002769251,0.00002039176,0.001328407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002417717,"threshold_uncertainty_score":0.01278627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053129567662336,"score_gpt":0.2207683365856425,"score_spread":0.2002370409090191,"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."}}