{"id":"W4225634097","doi":"10.1364/ofc.2022.th1c.3","title":"Localization of Reflection Induced Multi-Path-Interference Over Multi-Span Transmission Link by Receiver-side Digital Signal Processing","year":2022,"lang":"en","type":"article","venue":"Optical Fiber Communication Conference (OFC) 2022","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); Terry Fox Research Institute","funders":"","keywords":"Transmission (telecommunications); Interference (communication); Reflection (computer programming); Computer science; SIGNAL (programming language); Electronic engineering; Signal processing; Path (computing); Span (engineering); Digital signal; Digital signal processing; Telecommunications; Engineering; Computer network; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003456807,0.0002782398,0.0003216389,0.0001707067,0.0005135309,0.0001438605,0.001056765,0.0001447216,0.001125469],"category_scores_gemma":[0.0000589782,0.0003123508,0.0001003995,0.0006350744,0.0001304768,0.0005863273,0.0004410275,0.0009310651,0.00002107959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268245,"about_ca_system_score_gemma":0.0001326695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006631449,"about_ca_topic_score_gemma":0.00002248985,"domain_scores_codex":[0.9980354,0.0002574003,0.0007056984,0.0003247744,0.0003770862,0.0002996617],"domain_scores_gemma":[0.9982098,0.0001849934,0.0001838374,0.001004921,0.0002668652,0.00014961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000155737,0.0008443562,0.0003596322,0.0001633166,0.00009174991,0.000001741555,0.003291373,0.02171601,0.1204214,0.0007416751,0.001119276,0.8510937],"study_design_scores_gemma":[0.0009300265,0.0001572151,0.0002896882,0.0001707676,0.00003982393,0.000005762548,0.0004809598,0.9582837,0.007914377,0.0001915484,0.0310949,0.0004412329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03254584,0.002699728,0.9513844,0.001246636,0.000143803,0.0008435359,0.0002240703,0.0005959194,0.01031609],"genre_scores_gemma":[0.98984,0.000529305,0.008100809,0.00004516621,0.00001681513,0.0001590016,0.0007189444,0.00005531069,0.0005346799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9572941,"threshold_uncertainty_score":0.9999329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04214473782552289,"score_gpt":0.2851857561256412,"score_spread":0.2430410183001183,"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."}}