{"id":"W2114703162","doi":"10.1109/lcomm.2006.1613746","title":"Optimal downlink resource allocation for non-realtime traffic in cellular CDMA/TDMA networks","year":2006,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Time division multiple access; Computer science; Cellular network; Computer network; Telecommunications link; Base station; Code division multiple access; Scheduling (production processes); Resource allocation; Network packet; Mathematical optimization","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002112841,0.0002158034,0.0002171414,0.0001906021,0.000178453,0.00004581817,0.0006849071,0.0001369968,0.000003609143],"category_scores_gemma":[0.0000089229,0.0002723995,0.00007668819,0.0005048481,0.00009699776,0.0002114993,0.00004274768,0.0003264917,0.00001147333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304963,"about_ca_system_score_gemma":0.0000119642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002907601,"about_ca_topic_score_gemma":0.0001577854,"domain_scores_codex":[0.9987626,0.00006758462,0.0004779956,0.000220737,0.00008786259,0.0003832198],"domain_scores_gemma":[0.9983017,0.0002827505,0.00009084687,0.001232344,0.00004524503,0.00004707344],"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":[0.000009159238,0.00004420298,0.00004657864,0.0000159277,0.00001167646,6.759566e-7,0.00009957986,0.9845657,0.004841447,0.00009918624,0.007242,0.003023865],"study_design_scores_gemma":[0.0005408134,0.00001065112,0.0002252294,0.00005107764,0.00001672386,0.000001412229,0.000023058,0.9916396,0.0006042116,0.00001350454,0.006604374,0.0002693491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1014294,0.0006657012,0.8943309,0.001971081,0.0001647788,0.0007295825,0.00001005131,0.0003740751,0.0003244872],"genre_scores_gemma":[0.9011648,0.0001825813,0.09691254,0.0002559538,0.0001843396,0.0003674168,0.0008104402,0.00008387631,0.00003802025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7997354,"threshold_uncertainty_score":0.9999728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009276069348611304,"score_gpt":0.2182251940281604,"score_spread":0.2089491246795491,"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."}}