{"id":"W1504078168","doi":"10.1109/vetecf.2004.1400024","title":"Performance analysis of variable bit rate multiclass services in the uplink of a dynamic complete group partitioning round-robin carrier-hopping multirate multi-carrier DS-CDMA system","year":2005,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Variable bitrate; Computer science; Code division multiple access; Bit error rate; Variable (mathematics); Electronic engineering; Algorithm; Real-time computing; Computer network; Mathematics; Bit rate; Decoding methods; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007412547,0.0004668,0.0006030868,0.00039839,0.0004006428,0.0006329251,0.000341629,0.0004050211,0.0007736009],"category_scores_gemma":[0.003457604,0.0001758181,0.0002241175,0.0004096424,0.0006290774,0.0005116421,0.0004320325,0.0003240365,0.0001295017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080595,"about_ca_system_score_gemma":0.0005707091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005195482,"about_ca_topic_score_gemma":0.002334837,"domain_scores_codex":[0.9993454,0.0002265034,0.00001615436,0.00005472024,0.0002186575,0.0001386414],"domain_scores_gemma":[0.997421,0.001579735,0.0002621383,0.0001685343,0.0004896203,0.00007883553],"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":[0.0001527661,0.00001782166,0.001504909,0.0000432586,0.00003450179,0.0001944328,0.0001048295,0.9705344,0.01096353,0.007461433,0.0001886719,0.008799425],"study_design_scores_gemma":[0.000002266503,0.00003144867,0.0004808029,0.000002369886,0.000006344586,0.00005246373,0.00002216659,0.9975809,0.001288936,0.0004532737,0.00007475326,0.000004319145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7876806,0.0008699578,0.2028288,0.0002267167,0.00002211561,0.0000255092,0.00005904902,0.0002037186,0.008083551],"genre_scores_gemma":[0.9982226,0.00007803884,0.00145933,0.000007136583,0.000005311157,0.000003305219,0.000009552792,0.000007080911,0.0002074811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005195482,"threshold_uncertainty_score":0.01033044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0304522242680215,"score_gpt":0.280042285870519,"score_spread":0.2495900616024975,"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."}}