{"id":"W2129350728","doi":"10.1109/pimrc.1998.734698","title":"Performance evaluation of DS/CDMA systems employing adaptive transmission rate under imperfect power control","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Power control; Computer science; Transmission (telecommunications); Standard deviation; Power (physics); Code division multiple access; Interference (communication); Real-time computing; Control theory (sociology); Electronic engineering; Telecommunications; Statistics; Mathematics; Control (management); 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":[0.002700709,0.0001369627,0.0002189837,0.0001516226,0.0001731454,0.00009824182,0.001016263,0.00007962377,0.0002220325],"category_scores_gemma":[0.00003124941,0.0001105604,0.00006529161,0.0005319882,0.00006022861,0.0006667514,0.0001118557,0.0002058496,0.00006708058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001245706,"about_ca_system_score_gemma":0.00007799964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003249611,"about_ca_topic_score_gemma":0.000002234231,"domain_scores_codex":[0.997004,0.001084134,0.0003745836,0.0002936879,0.0009409538,0.0003026835],"domain_scores_gemma":[0.9977993,0.000387919,0.0001333287,0.0009151484,0.0006659034,0.00009837058],"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":[0.00007503621,0.0003242912,0.001281728,0.00005671091,0.0001569597,0.000001590423,0.002677778,0.6892954,0.0112292,0.01711441,0.001680224,0.2761067],"study_design_scores_gemma":[0.001022334,0.0001539594,0.005426199,0.00008181864,0.00001030025,0.000003968055,0.00006598245,0.9921001,0.0008414401,0.00004178186,0.0001236652,0.0001284745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2308041,0.001763139,0.753397,0.0006394116,0.0001515349,0.000847641,9.057599e-7,0.0001348356,0.0122614],"genre_scores_gemma":[0.9978337,0.0001994073,0.001531625,0.00005314919,0.00001828648,0.0000472484,8.97118e-7,0.00001211651,0.0003036296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7670296,"threshold_uncertainty_score":0.4508522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07718615672488362,"score_gpt":0.3028221639644048,"score_spread":0.2256360072395212,"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."}}