{"id":"W2138539077","doi":"10.1109/icc.2001.937152","title":"Resource allocation and scheduling schemes for WCDMA downlinks","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":"Computer science; Scheduling (production processes); Telecommunications link; Throughput; Channel (broadcasting); Computer network; Real-time computing; Code division multiple access; Random access; Wireless; Telecommunications; Mathematical optimization; Mathematics","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":[0.0003403426,0.00006815133,0.0000764478,0.00007493007,0.0001939799,0.0002032013,0.000774478,0.00005806801,0.00002515362],"category_scores_gemma":[0.00009178068,0.00006260577,0.00002309466,0.0002481483,0.0000466985,0.0003066721,0.0003519715,0.0001281049,0.00002727957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001814036,"about_ca_system_score_gemma":0.00001013438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003786708,"about_ca_topic_score_gemma":0.000003849877,"domain_scores_codex":[0.9991975,0.00005182187,0.0001424881,0.0002357129,0.0001693809,0.0002030719],"domain_scores_gemma":[0.9988067,0.0003029466,0.00003634911,0.0006758096,0.0001019084,0.00007634616],"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":[0.000003731287,0.00006024143,0.0002428306,0.00002208137,0.00001461228,3.995232e-7,0.0004509941,0.0007495827,0.0007741831,0.3695215,0.006008388,0.6221514],"study_design_scores_gemma":[0.0002078726,0.00002223046,0.00010678,0.00001046923,8.797808e-7,0.000002597718,0.00002316742,0.9024234,0.000815911,0.0007069422,0.09560029,0.0000794022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006704407,0.0009867229,0.9700273,0.01634288,0.00002373867,0.0002357375,3.080316e-7,0.0001725923,0.005506336],"genre_scores_gemma":[0.6809273,0.0001518037,0.3169795,0.0003290132,0.00004525149,0.00004705686,0.000002373107,0.000006347266,0.001511291],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9016739,"threshold_uncertainty_score":0.2552989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05309487783406708,"score_gpt":0.2857504112482575,"score_spread":0.2326555334141904,"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."}}