{"id":"W2160433355","doi":"10.1109/98.892255","title":"Optimal resource management in packet-switching TDD CDMA systems","year":2000,"lang":"en","type":"article","venue":"IEEE Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Statistical time division multiplexing; Code division multiple access; Scheduling (production processes); Network packet; Quality of service; Time-division multiplexing; Distributed computing; Real-time computing; Multiplexing; Telecommunications","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001073395,0.0001896094,0.0002181921,0.0002868471,0.0006084941,0.0004130114,0.007099592,0.00008755326,0.00005639804],"category_scores_gemma":[0.00001291145,0.0002052209,0.00008338156,0.001154634,0.0001449452,0.000511581,0.001057204,0.0007832979,0.0003382182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311983,"about_ca_system_score_gemma":0.00006488447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002419434,"about_ca_topic_score_gemma":0.0001056824,"domain_scores_codex":[0.9972048,0.0008741558,0.0004605344,0.0003968632,0.0005647369,0.0004988794],"domain_scores_gemma":[0.9947035,0.0005138083,0.00008942674,0.004462608,0.00008013505,0.0001505428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008455409,0.001598669,0.001129542,0.0001204872,0.0002774396,0.00007258246,0.01956837,0.09641787,0.0004289272,0.2251348,0.01739623,0.6377706],"study_design_scores_gemma":[0.000437641,0.00002507791,0.001767618,0.0001249973,0.00000556247,0.00002824635,0.0006811354,0.8664271,0.00001104504,0.0001650548,0.1300593,0.0002672444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3076004,0.01496021,0.1532524,0.04620203,0.0004276098,0.003217313,0.00003091785,0.001518593,0.4727906],"genre_scores_gemma":[0.9593915,0.001697619,0.03566975,0.0002387213,0.00004456972,0.0002815858,0.00001983841,0.00002361015,0.002632823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7700092,"threshold_uncertainty_score":0.9982725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04952656291708212,"score_gpt":0.3155314516888623,"score_spread":0.2660048887717801,"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."}}