{"id":"W4205303671","doi":"10.1364/acpc.2021.t4a.40","title":"Low-Complexity Single-Stage Frequency-Domain Equalizer","year":2021,"lang":"en","type":"article","venue":"Asia Communications and Photonics Conference 2021","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Equalizer; Computer science; Adaptive equalizer; Frequency domain; Degradation (telecommunications); Single stage; Computational complexity theory; Electronic engineering; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001377345,0.0001757442,0.0002347838,0.00004642765,0.0001806517,0.000152796,0.0006264759,0.0001525362,0.0005980331],"category_scores_gemma":[0.00006477018,0.0001931248,0.00005145468,0.0003425606,0.0003815722,0.0001233131,0.0004782097,0.0004385426,0.0000404671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005420352,"about_ca_system_score_gemma":0.0000749578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000209264,"about_ca_topic_score_gemma":0.0005331297,"domain_scores_codex":[0.9990321,0.00008361634,0.0002792714,0.0002132482,0.0001111334,0.0002806008],"domain_scores_gemma":[0.9976932,0.0001920485,0.0000362138,0.001851979,0.0001443613,0.00008216105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001185612,0.00009564629,0.0001254111,0.00004450531,0.00004302958,0.00001109633,0.0002711824,0.00002520008,0.02602442,0.9634164,0.0001065888,0.009835314],"study_design_scores_gemma":[0.001214358,0.0001622489,0.001351474,0.0004933462,0.0001035373,0.00007696885,0.008241176,0.2671929,0.04647015,0.5160473,0.1567453,0.001901257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6048896,0.01384303,0.01471128,0.005497241,0.0003097006,0.0004806402,0.0002054655,0.001029582,0.3590335],"genre_scores_gemma":[0.8024288,0.004825115,0.1924124,0.00005202157,0.000007019942,0.00003965173,0.00008586946,0.00002129738,0.0001277719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4473692,"threshold_uncertainty_score":0.78754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06333837527473618,"score_gpt":0.2669617151630281,"score_spread":0.203623339888292,"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."}}