{"id":"W2041649115","doi":"10.1007/s11277-007-9253-8","title":"Performance evaluation of spatially multiplexed MIMO systems with subset antenna transmission in interference limited environments","year":2007,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Computer science; Spatial multiplexing; Interference (communication); Antenna (radio); Multi-user MIMO; Multiplexing; Transmission (telecommunications); Channel (broadcasting); 3G MIMO; Electronic engineering; Orthogonal frequency-division multiplexing; Fading; Telecommunications; Engineering","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":[0.0007423863,0.0001640736,0.0002171711,0.0002019417,0.00008093302,0.00001176359,0.0003814297,0.00008949682,0.000008455398],"category_scores_gemma":[0.00001597788,0.0001612349,0.00002697627,0.0003490504,0.0001028902,0.000258082,0.00003464998,0.0002203132,0.000004426443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002589491,"about_ca_system_score_gemma":0.00003717031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008724364,"about_ca_topic_score_gemma":0.0004050113,"domain_scores_codex":[0.9987118,0.0001253044,0.000471097,0.0001559391,0.0003314031,0.000204469],"domain_scores_gemma":[0.9989845,0.0001256618,0.0001263937,0.0005791386,0.0001269535,0.0000573763],"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":[0.0001556257,0.0003162937,0.02275701,0.0002396338,0.00007599581,0.000001191978,0.00741532,0.7388228,0.1998165,0.00007922156,0.000004481827,0.03031595],"study_design_scores_gemma":[0.0008801551,0.00005106139,0.02139631,0.0005466487,0.00002967639,0.000005403519,0.0006604111,0.973937,0.002265063,0.000001159078,0.00005761545,0.0001695195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8368435,0.0009236705,0.1606414,0.00002602782,0.00005423913,0.0006888419,0.0000188734,0.00007022708,0.0007331825],"genre_scores_gemma":[0.9942618,0.0005245759,0.004903994,0.000002955902,0.000009732688,0.00008588286,0.0001552585,0.00003381111,0.0000219598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2351142,"threshold_uncertainty_score":0.6574969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03558307281108469,"score_gpt":0.2616087852120273,"score_spread":0.2260257124009426,"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."}}