{"id":"W2161865670","doi":"10.1109/access.2015.2461007","title":"Generalized Queue-Aware Resource Management and Scheduling for Wireless Communications","year":2015,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mathematical optimization; Integer programming; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008082792,0.0007670672,0.0007855173,0.000407726,0.0003426239,0.000893598,0.001032135,0.0007339336,0.001475044],"category_scores_gemma":[0.001291789,0.0003267123,0.0005500842,0.001016236,0.0005911162,0.0009573072,0.000676039,0.0008639083,0.0002135285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096108,"about_ca_system_score_gemma":0.001965819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006442386,"about_ca_topic_score_gemma":0.006008554,"domain_scores_codex":[0.9996291,0.0001410082,0.00001349294,0.00005636297,0.000105981,0.00005411939],"domain_scores_gemma":[0.9996957,0.0001661119,0.00004218582,0.00002387177,0.00005465199,0.0000175134],"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":[0.00002495223,0.00002097201,0.0001120797,0.00006956333,0.00002350577,0.00002570046,0.00002108875,0.9577054,0.001451529,0.02430552,0.0007855943,0.01545399],"study_design_scores_gemma":[0.000004372009,0.00001175051,0.00002708618,0.000001759737,0.000002406733,0.000004349299,0.000003012476,0.9961901,0.0001035281,0.003323759,0.00032569,0.000002168932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008061706,0.0006104121,0.9891753,0.0001387845,0.00005684202,0.00003552225,0.00003507959,0.00008898717,0.001797478],"genre_scores_gemma":[0.6674443,0.001932605,0.3246782,0.0001880507,0.000159834,0.0002497852,0.0001654745,0.0001021668,0.005079559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006442386,"threshold_uncertainty_score":0.01280981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05612226095849224,"score_gpt":0.309308637692208,"score_spread":0.2531863767337157,"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."}}