{"id":"W2149678839","doi":"10.1109/twc.2009.080918","title":"Bit error rate of TH-BPSK UWB receivers in multiuser interference","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Additive white Gaussian noise; Probability density function; Bit error rate; Computer science; Interference (communication); Phase-shift keying; Algorithm; Gaussian; Maximum a posteriori estimation; Gaussian noise; White noise; Electronic engineering; Mathematics; Telecommunications; Decoding methods; Statistics; Maximum likelihood; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001732887,0.0002046183,0.0002885521,0.0005488376,0.0001631403,0.0000174178,0.001687465,0.0001870729,0.00004781461],"category_scores_gemma":[0.00001124252,0.0002331606,0.0001009766,0.0009478702,0.0002391509,0.0002076432,0.000007288476,0.0008282063,0.00005432624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401716,"about_ca_system_score_gemma":0.0000359363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001367605,"about_ca_topic_score_gemma":0.001363742,"domain_scores_codex":[0.9988198,0.0001577055,0.0005108094,0.0001796084,0.00008341252,0.0002486944],"domain_scores_gemma":[0.9965992,0.0003596,0.0000741784,0.002821401,0.00009042223,0.0000551982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001503832,0.003288268,0.0004433225,0.00008988296,0.000325582,0.00000396904,0.006553849,0.2720257,0.2750441,0.01017146,0.0005723319,0.4313312],"study_design_scores_gemma":[0.00443297,0.0007301995,0.01285334,0.001228419,0.0002273123,0.00003394164,0.003430275,0.4663669,0.4962783,0.004532562,0.007787845,0.002097862],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6277243,0.0006951453,0.3557652,0.005211026,0.0003244638,0.0008634554,0.0001138063,0.001415877,0.007886696],"genre_scores_gemma":[0.9915008,0.002866823,0.005286211,0.0000807082,0.000002689115,0.0001198746,0.00001131728,0.00002877706,0.0001028308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4292333,"threshold_uncertainty_score":0.9508011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552040907942667,"score_gpt":0.2608290871847059,"score_spread":0.2353086781052793,"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."}}