{"id":"W1965690692","doi":"10.1007/s00034-009-9144-1","title":"A Limited Feedback SDMA Scheme with Dynamic Multiplexing Order","year":2009,"lang":"en","type":"article","venue":"Circuits Systems and Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Multiplexing; Scheme (mathematics); Computer science; Order (exchange); Control theory (sociology); Mathematics; Telecommunications; Artificial intelligence; Control (management); Economics","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":[0.0005765307,0.0006338219,0.0006368849,0.0003497209,0.0006720219,0.0006857076,0.000621447,0.0005078367,0.001919406],"category_scores_gemma":[0.001453973,0.0002310463,0.0002643543,0.0005304658,0.0005406311,0.0009402609,0.0007744503,0.0004830481,0.000373348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005801392,"about_ca_system_score_gemma":0.001189079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008855078,"about_ca_topic_score_gemma":0.00146255,"domain_scores_codex":[0.999541,0.0001245802,0.00002810588,0.00009224709,0.0001414167,0.00007259668],"domain_scores_gemma":[0.9991632,0.0002780189,0.00009334421,0.0001826559,0.0002167079,0.0000661847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001736413,0.0003630633,0.001976681,0.0005884804,0.0001803781,0.0005565035,0.0002750933,0.1966312,0.4155801,0.1180416,0.003719601,0.2603509],"study_design_scores_gemma":[0.0001396823,0.0005766568,0.0005590391,0.00005123462,0.00008862753,0.0004655155,0.00003138736,0.9328896,0.04007353,0.0210346,0.004014891,0.00007525158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1463421,0.001152433,0.8428629,0.0004619527,0.0002641071,0.0001409743,0.0002128346,0.0006083753,0.007954444],"genre_scores_gemma":[0.9314114,0.0002623322,0.06516124,0.0001449063,0.000103692,0.00009314255,0.00005543347,0.00001195809,0.002755841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001919406,"threshold_uncertainty_score":0.006421089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029886286014093,"score_gpt":0.2141074276654037,"score_spread":0.2038085648052628,"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."}}