{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00141196,0.000435336,0.0008275778,0.0004478327,0.0005098432,0.000923517,0.0006257596,0.0007076936,0.001131419],"category_scores_gemma":[0.002825981,0.0004615491,0.0004480159,0.0008728897,0.0007297116,0.0005405701,0.0006296845,0.0006401264,0.000176209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008846873,"about_ca_system_score_gemma":0.001083953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004405543,"about_ca_topic_score_gemma":0.003556385,"domain_scores_codex":[0.9991358,0.0004685836,0.0000197364,0.00007623091,0.0001874913,0.0001121444],"domain_scores_gemma":[0.9986308,0.0009800903,0.0001222871,0.00006991226,0.0001391431,0.00005775586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003512503,0.00002178493,0.0002467058,0.00001937062,0.00001273632,0.00003443908,0.00002103433,0.9851117,0.0006575097,0.005878248,0.0002554671,0.007705941],"study_design_scores_gemma":[0.000007498677,0.00002195875,0.0000929599,0.000001473287,0.000002717377,0.000009620102,0.000005278494,0.9972137,0.0002582252,0.002176554,0.0002078518,0.000002261822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08457136,0.001091904,0.9080369,0.0002586682,0.00007528505,0.00008225904,0.00005060149,0.0001795387,0.005653651],"genre_scores_gemma":[0.9034268,0.0004779902,0.09351429,0.00007865488,0.00003689385,0.00009796891,0.00005236961,0.00003758898,0.002277311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004405543,"threshold_uncertainty_score":0.008759856,"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."}}