{"id":"W1554031761","doi":"10.1109/pimrc.2005.1651484","title":"Capacity Region of a Multi-Code DS-UWB System with Rayleigh Monocycles Supporting Variable Bit Rate Multiclass Services","year":2006,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Variable bitrate; Computer science; Bit error rate; Algorithm; Interference (communication); Electronic engineering; Code rate; Code (set theory); Frame (networking); Variable (mathematics); Rayleigh fading; SIGNAL (programming language); Decoding methods; Real-time computing; Telecommunications; Channel (broadcasting); Bit rate; Mathematics; 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":[0.000189053,0.0001930751,0.0003025023,0.0001502396,0.00008549489,0.00002447996,0.0004063424,0.0001536322,0.000007473055],"category_scores_gemma":[0.000009762876,0.0001646871,0.00003800698,0.0003658659,0.00006949194,0.000175876,0.00005075682,0.0001836773,0.00001139265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009163404,"about_ca_system_score_gemma":0.00001403676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00329981,"about_ca_topic_score_gemma":0.002176015,"domain_scores_codex":[0.9989045,0.00004756017,0.0004654207,0.0001965225,0.00009235612,0.0002936528],"domain_scores_gemma":[0.9988313,0.000104463,0.000148043,0.0007784968,0.0001013009,0.00003635468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007190915,0.00050953,0.05183642,0.003128437,0.0004224887,0.00003422357,0.0008641728,0.3670799,0.5157067,0.05841994,0.0002741219,0.00165224],"study_design_scores_gemma":[0.001231882,0.00004271669,0.003807161,0.0002764522,0.0000642398,0.00008019721,0.001179106,0.7911469,0.2009922,0.0001934881,0.0006045839,0.0003809794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8666513,0.0001490871,0.1264219,0.000076606,0.00004100349,0.0002829873,0.00001140628,0.00141279,0.004952901],"genre_scores_gemma":[0.9427677,0.00001075334,0.05693221,0.00000946402,0.00001178953,0.00005605699,0.00001443368,0.00003970875,0.0001579177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4240671,"threshold_uncertainty_score":0.6715747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267220690871919,"score_gpt":0.1988292192658498,"score_spread":0.1861570123571306,"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."}}