{"id":"W4288058177","doi":"10.36227/techrxiv.20342085","title":"Multiplexing Gain and Sum-Rate Loss of MIMO Antennas","year":2022,"lang":"en","type":"preprint","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; 3G MIMO; Multi-user MIMO; Antenna (radio); Electronic engineering; Multiplexing; Computer science; Telecommunications; Engineering; Beamforming","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":[0.0008925347,0.001326243,0.0005922421,0.0007939799,0.0003307113,0.001848297,0.0008905407,0.0008824928,0.002804528],"category_scores_gemma":[0.004945336,0.0003671381,0.0004212357,0.001076229,0.0007587886,0.002104913,0.0008445133,0.001081597,0.001509867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327758,"about_ca_system_score_gemma":0.0002890275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004242561,"about_ca_topic_score_gemma":0.0003521441,"domain_scores_codex":[0.9983536,0.0003022343,0.00004866992,0.0002179893,0.0008941321,0.0001834205],"domain_scores_gemma":[0.997739,0.001046193,0.0003011353,0.0003818879,0.0004784052,0.00005344638],"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":[0.0006962873,0.0001450289,0.003573841,0.0004609003,0.0001403606,0.001014283,0.0002945171,0.4232583,0.1818809,0.193565,0.006008711,0.1889619],"study_design_scores_gemma":[0.00001241479,0.0003772133,0.003400162,0.00009742616,0.0000943878,0.002323889,0.0001237866,0.8156239,0.1272932,0.04128509,0.009231905,0.0001366821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1777747,0.00773762,0.7126905,0.001013903,0.0006892835,0.00008606555,0.0007406281,0.001331812,0.09793551],"genre_scores_gemma":[0.9557051,0.003469828,0.02734791,0.0002256053,0.0002712841,0.00007222383,0.0002219264,0.000179406,0.01250666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002804528,"threshold_uncertainty_score":0.009633541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025600634406731,"score_gpt":0.2336546028623034,"score_spread":0.2133985965182361,"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."}}