{"id":"W2117144501","doi":"10.1049/iet-com.2008.0340","title":"Multiuser scheduling in high speed downlink packet access","year":2009,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Telecommunications link; Scheduling (production processes); Network packet; Channel state information; Computer network; Distributed computing; Real-time computing; Wireless; Mathematical optimization; Telecommunications; 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":[0.00008875548,0.0001201442,0.0001409852,0.0001188259,0.00009045696,0.00005386779,0.0008193039,0.00008130574,0.00002263728],"category_scores_gemma":[0.00003682495,0.0001403873,0.00002819535,0.0005294743,0.00003470711,0.0004283039,0.0001029126,0.0003130901,0.00003292752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009011254,"about_ca_system_score_gemma":0.00001052681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000177903,"about_ca_topic_score_gemma":0.000136287,"domain_scores_codex":[0.999302,0.00004260517,0.0002623379,0.0001124209,0.0000787476,0.0002019442],"domain_scores_gemma":[0.9985935,0.000107972,0.00003854992,0.001165372,0.00004795349,0.00004665626],"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":[0.00000224171,0.00004279694,0.0009994387,0.000003764783,0.000005808017,5.674676e-7,0.0001461916,0.9883021,0.0004295247,0.001629896,0.0001414826,0.008296219],"study_design_scores_gemma":[0.0004164538,0.00000744069,0.01968614,0.00006002829,0.000006475939,0.000001116667,0.00003527632,0.9758429,0.0003512898,0.002023419,0.001367563,0.0002018883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6814294,0.003744141,0.2849117,0.007259264,0.0005141494,0.001172286,0.0000420369,0.002423657,0.01850334],"genre_scores_gemma":[0.9073556,0.001584626,0.09070524,0.0001295385,0.00003882815,0.00001402101,0.0001272398,0.00002306514,0.0000218396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2259261,"threshold_uncertainty_score":0.572483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756815309725684,"score_gpt":0.298303040692188,"score_spread":0.2707348875949311,"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."}}