{"id":"W2164066032","doi":"10.1109/wcnc.2008.325","title":"An Optimal Admission Control Policy for CDMA Multiple Antenna Systems with QoS Constraints","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Retransmission; Quality of service; Automatic repeat request; Computer science; Computer network; Throughput; Hybrid automatic repeat request; Admission control; Code division multiple access; Physical layer; Wireless; Telecommunications; Telecommunications link","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":[0.00004681927,0.00018407,0.0002257865,0.00008800554,0.000112905,0.00002101683,0.00009685762,0.00008633873,0.00002106235],"category_scores_gemma":[0.00003170526,0.0001524227,0.0000309858,0.0001506514,0.00007113199,0.0002708854,0.000004725278,0.00007501007,0.000005276722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007023413,"about_ca_system_score_gemma":0.00004810886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001306921,"about_ca_topic_score_gemma":0.000004800654,"domain_scores_codex":[0.9991369,0.00001605441,0.0002084355,0.000192573,0.0001143843,0.0003316184],"domain_scores_gemma":[0.9993964,0.00008182561,0.00004005367,0.0002032042,0.00009717802,0.0001812747],"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":[0.0001140044,0.00002408958,0.0006597444,0.00003244332,0.000027079,0.000007787981,0.00007653023,0.9948999,0.002633457,0.0002195862,0.0002404489,0.001064977],"study_design_scores_gemma":[0.002261557,0.0001409364,0.0002326955,0.0000439812,0.000008417012,0.0000756535,0.0001016451,0.9958554,0.00060115,0.000001863707,0.0004560141,0.0002207052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02667376,0.00009880186,0.9710973,0.00002383286,0.0001548203,0.0007400259,0.00003462087,0.0006082686,0.000568597],"genre_scores_gemma":[0.9513031,0.00004400562,0.04791093,0.00003770339,0.0003778134,0.00009962449,0.00004470172,0.00006485113,0.000117232],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9246294,"threshold_uncertainty_score":0.6215615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009024932775171983,"score_gpt":0.22160158078028,"score_spread":0.212576648005108,"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."}}