{"id":"W3197144189","doi":"10.1109/isit45174.2021.9517711","title":"Multiplexing Gain of Modulating Phases Through Reconfigurable Intelligent Surface","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Multiplexing; Transmitter; Spatial multiplexing; Channel (broadcasting); Computer science; Electronic engineering; Signal-to-noise ratio (imaging); Focus (optics); Engineering; Telecommunications; Physics; Optics","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":[0.00005241943,0.00009503372,0.0001624201,0.00002181682,0.00003707491,0.00001030042,0.0001839085,0.00005501518,0.0002112727],"category_scores_gemma":[0.0001716494,0.0001005849,0.00003899244,0.0002278723,0.00003845331,0.0001614492,0.0000550919,0.0001273906,0.000006041826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003885726,"about_ca_system_score_gemma":0.000009338524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002126254,"about_ca_topic_score_gemma":0.00001876201,"domain_scores_codex":[0.9993902,0.00001467213,0.0002679958,0.0001100045,0.00007122627,0.0001458697],"domain_scores_gemma":[0.9991878,0.0001912495,0.00004034326,0.0004945127,0.00007265137,0.0000133938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[6.410031e-7,0.00001291845,0.00009924008,0.00002848563,0.00001592051,0.000001029151,0.0001407482,0.819515,0.1521215,0.002740289,0.00006767162,0.02525662],"study_design_scores_gemma":[0.00006725821,0.00000415213,0.000006006005,0.00004288762,0.000001183065,0.000001466776,0.001241742,0.257487,0.7385234,0.001360704,0.001180628,0.00008355876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1126718,0.002811002,0.8471112,0.00009384125,0.00008156325,0.00008111526,0.000006241829,0.00106993,0.03607335],"genre_scores_gemma":[0.8146177,0.0009059791,0.1842179,0.00001074673,0.000003749771,0.000003945158,0.000008360721,0.00001695676,0.0002146658],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7019458,"threshold_uncertainty_score":0.4101735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04323975233225005,"score_gpt":0.278073696855726,"score_spread":0.2348339445234759,"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."}}