{"id":"W4321844144","doi":"10.1109/mapcon56011.2022.10046926","title":"Multiplexing Gain and Sum-Rate Loss of MIMOAntennas","year":2022,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"MIMO; Spatial multiplexing; Multi-user MIMO; 3G MIMO; Computer science; Multiplexing; Antenna (radio); Electronic engineering; Computer network; Telecommunications; Engineering; Channel (broadcasting)","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":[0.001096149,0.001231769,0.0006373081,0.0006101604,0.0004900644,0.001581228,0.000929299,0.0009048954,0.001816783],"category_scores_gemma":[0.003773807,0.0003285304,0.0004297016,0.001076908,0.0007305664,0.001886173,0.0007613255,0.0008038419,0.0009348544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356831,"about_ca_system_score_gemma":0.0002870839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004972687,"about_ca_topic_score_gemma":0.000562965,"domain_scores_codex":[0.9986324,0.0002556496,0.00005329056,0.0001651593,0.0006796607,0.000213835],"domain_scores_gemma":[0.9974407,0.001146995,0.000402837,0.0003946775,0.0005557443,0.00005899819],"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":[0.0007761385,0.0002139425,0.005984558,0.0003807355,0.0001785883,0.001080755,0.0002244575,0.5745776,0.2161921,0.09469134,0.002171153,0.1035286],"study_design_scores_gemma":[0.00001012771,0.0006451137,0.004724441,0.00008671475,0.0001135493,0.00227463,0.0001643012,0.834421,0.1347062,0.0176705,0.005059665,0.0001236594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4654064,0.004571172,0.4601148,0.0008068205,0.000369892,0.00008149561,0.0005929552,0.001445959,0.0666106],"genre_scores_gemma":[0.9774544,0.001182728,0.01739992,0.0001169667,0.000050102,0.00003871564,0.0001123487,0.00006119226,0.003583676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001816783,"threshold_uncertainty_score":0.009844482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228607160827338,"score_gpt":0.201423345419568,"score_spread":0.1891372738112946,"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."}}