{"id":"W1951477862","doi":"10.1109/glocom.2001.965192","title":"Performance analysis of adaptive rate and power control for data service in DS-CDMA systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Power control; Code division multiple access; Throughput; Telecommunications link; Network packet; Real-time computing; Transmission (telecommunications); Bit error rate; Computer network; Spread spectrum; Data transmission; Noise power; Power (physics); Electronic engineering; Wireless; Telecommunications; Engineering; Channel (broadcasting)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001874333,0.001151976,0.0005790739,0.0006900761,0.0004736084,0.001102507,0.0008005202,0.0009222053,0.00143433],"category_scores_gemma":[0.01067634,0.0003284508,0.0003041681,0.0007508364,0.001015864,0.001069068,0.0006574747,0.0006423955,0.0002556557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762013,"about_ca_system_score_gemma":0.0007993254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005298235,"about_ca_topic_score_gemma":0.002039737,"domain_scores_codex":[0.9982337,0.0005998673,0.00004957276,0.0001739909,0.0006311859,0.0003116285],"domain_scores_gemma":[0.9949967,0.003226048,0.0003892761,0.0002294036,0.001058158,0.0001004675],"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":[0.0004275912,0.00005250879,0.002415677,0.00009219834,0.00006013494,0.000168982,0.0001028236,0.9342619,0.007977934,0.02145201,0.0004455065,0.03254278],"study_design_scores_gemma":[0.000009375778,0.00006782646,0.0003945736,0.000003973193,0.0000123633,0.00003655315,0.00001572137,0.9965558,0.001029184,0.001699438,0.0001679597,0.000007142545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4274727,0.002780593,0.5492744,0.0004810245,0.0001024659,0.0001124196,0.0000964285,0.000642583,0.01903738],"genre_scores_gemma":[0.9930128,0.0002984576,0.005834087,0.0000310844,0.00002755788,0.00002581562,0.00002396431,0.00002423503,0.000721879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005298235,"threshold_uncertainty_score":0.01278442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08556958085885652,"score_gpt":0.2985237232207205,"score_spread":0.2129541423618639,"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."}}