{"id":"W2140042712","doi":"10.1109/icc.2008.736","title":"A Myriad Filter Detector for UWB Multiuser Communication","year":2008,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Detector; Gaussian noise; Gaussian; Interference (communication); Cauchy distribution; Noise (video); Computer science; Matched filter; Electronic engineering; Algorithm; Telecommunications; Physics; Mathematics; Engineering; Statistics; 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":[0.00005060761,0.00008910659,0.0001018305,0.00007666009,0.0001216772,0.000007353338,0.0004523618,0.000101069,0.00009906446],"category_scores_gemma":[0.00004779941,0.000086948,0.00004747536,0.0001150906,0.00005713341,0.00008574211,0.00004614674,0.0001241308,0.00008682383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000350144,"about_ca_system_score_gemma":0.000006751095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000225101,"about_ca_topic_score_gemma":0.0001177614,"domain_scores_codex":[0.9995561,0.00001344216,0.0001593872,0.0000794406,0.00004131431,0.0001502944],"domain_scores_gemma":[0.9987598,0.000165092,0.00001557966,0.0009898696,0.00004438395,0.00002524868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001385411,0.000831069,0.01187547,0.0002968567,0.0008750185,0.000006353845,0.009065309,0.01139924,0.4199977,0.0390302,0.3273231,0.1791612],"study_design_scores_gemma":[0.002517972,0.0001239,0.008069715,0.00003776595,0.00004505388,0.00008602463,0.000232522,0.1376732,0.2692627,0.004293294,0.57675,0.0009079028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8162312,0.001416663,0.1526435,0.001301032,0.0001682715,0.0009506058,0.00002354742,0.003895827,0.02336939],"genre_scores_gemma":[0.9299287,0.0002738238,0.06873409,0.0000811104,0.00001050931,0.0002806175,0.00002005384,0.0000266741,0.0006443764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2494269,"threshold_uncertainty_score":0.3545637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243231230701904,"score_gpt":0.2190495009020505,"score_spread":0.1966171885950315,"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."}}