{"id":"W4288058022","doi":"10.36227/techrxiv.20363469.v1","title":"Diversity Order and Measure of MIMO Antennas in Single-User, Multi-User and Massive MIMO Wireless Communications","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"MIMO; Diversity gain; Wireless; Measure (data warehouse); Computer science; Multi-user MIMO; Telecommunications; Electronic engineering; Mathematics; Engineering; Channel (broadcasting); Data mining","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":[0.00113892,0.0007534591,0.000593218,0.0008290479,0.0003337856,0.001009046,0.0004061371,0.000585269,0.0006532886],"category_scores_gemma":[0.005224974,0.0002592386,0.0003180817,0.001060117,0.0008597465,0.001237905,0.00066353,0.0006030676,0.0002684048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005687328,"about_ca_system_score_gemma":0.0003746601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003469478,"about_ca_topic_score_gemma":0.0004856247,"domain_scores_codex":[0.9989703,0.000319356,0.00004040163,0.0001210698,0.0004642301,0.00008477744],"domain_scores_gemma":[0.9955803,0.003067503,0.0004420903,0.0003838722,0.0004160001,0.0001102921],"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":[0.0002156492,0.00006169468,0.008859739,0.0002994218,0.000107836,0.0004973537,0.0002009355,0.8056725,0.0261974,0.1025667,0.001088246,0.0542325],"study_design_scores_gemma":[0.00001848091,0.000387773,0.006303323,0.00004976191,0.00004733178,0.001395703,0.0001294656,0.9021159,0.01922814,0.06772501,0.002504437,0.00009458952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2575377,0.002851236,0.7271635,0.0002776288,0.00009224276,0.00004173606,0.0002404722,0.0002614086,0.01153416],"genre_scores_gemma":[0.9662226,0.0007896301,0.03180866,0.00005136459,0.0000518205,0.00002492555,0.0001150853,0.00002980928,0.0009061653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00113892,"threshold_uncertainty_score":0.006023288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04074807125994393,"score_gpt":0.2403182483601508,"score_spread":0.1995701771002068,"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."}}