{"id":"W4385316160","doi":"10.1364/cleo_si.2023.sf1m.3","title":"Record High Throughput using Electronic 2×2 MIMO with OAM Multiplexing","year":2023,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Throughput; MIMO; Multiplexing; Computer science; Computer network; Telecommunications; Electronic engineering; Engineering; Wireless; 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":[0.0007049842,0.0004728824,0.0003228232,0.0003810849,0.0005345436,0.000769679,0.0004181656,0.0003957038,0.005768065],"category_scores_gemma":[0.0006109847,0.0002155433,0.0001647697,0.0006259176,0.0005719305,0.0007815281,0.0005379046,0.0004804616,0.001271056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003207729,"about_ca_system_score_gemma":0.0002009459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056143,"about_ca_topic_score_gemma":0.002054622,"domain_scores_codex":[0.9995558,0.00005485769,0.00001424268,0.00007205505,0.0001776576,0.0001253258],"domain_scores_gemma":[0.9996283,0.0001332441,0.00003032403,0.000106179,0.00007125159,0.0000307715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009622686,0.0003593096,0.005703673,0.0001338229,0.0001190847,0.0003835122,0.0002932166,0.009709972,0.9055896,0.006770608,0.005497038,0.06447787],"study_design_scores_gemma":[0.00009325227,0.0005275791,0.00759415,0.00002187766,0.00005128589,0.0003156179,0.0001248701,0.02170518,0.9538072,0.002067214,0.01363199,0.00005989932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8698943,0.0008886553,0.08461712,0.000630267,0.000301152,0.0001176665,0.001318287,0.002878546,0.03935397],"genre_scores_gemma":[0.9712636,0.0002242806,0.0187821,0.00009359632,0.00006292178,0.00002916142,0.0006440973,0.00005596305,0.008844234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005768065,"threshold_uncertainty_score":0.01929611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527635903223094,"score_gpt":0.2163689264140245,"score_spread":0.2010925673817936,"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."}}