{"id":"W2042046758","doi":"10.1364/oe.20.014825","title":"Experimental demonstration of non-iterative interpolation-based partial ICI compensation in100G RGI-DP-CO-OFDM transport systems","year":2012,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical Network Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Canada Research Chairs","keywords":"Orthogonal frequency-division multiplexing; Phase noise; Computer science; Bit error rate; Laser linewidth; Interpolation (computer graphics); Computational complexity theory; Guard interval; Optics; Algorithm; Electronic engineering; Laser; Telecommunications; Physics; Decoding methods; Engineering; Frame (networking)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001154314,0.000182643,0.0002361673,0.00009083727,0.00004534598,0.00003035666,0.0001353187,0.000166937,0.00002371734],"category_scores_gemma":[0.000008817053,0.0001882931,0.0000551356,0.0001171936,0.000101156,0.0003319618,0.00001184453,0.0001544891,0.00001247118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006558326,"about_ca_system_score_gemma":0.00001283487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008552067,"about_ca_topic_score_gemma":9.75421e-7,"domain_scores_codex":[0.9989626,0.0000239596,0.000407053,0.00012964,0.0002062638,0.0002704491],"domain_scores_gemma":[0.9994842,0.00008921655,0.00007563915,0.0002288492,0.00005435214,0.0000676937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006886698,0.0003028522,0.01504182,0.0002108274,0.00009949313,0.000003194249,0.002631756,0.3471722,0.6169572,0.01685113,0.0002101275,0.0004505148],"study_design_scores_gemma":[0.0002825929,0.00005966619,0.0007449923,0.000079121,0.00001678934,0.000001137362,0.0004964658,0.6349322,0.36314,0.000005574318,0.00007799138,0.0001634248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8224779,0.0001944674,0.1728165,0.000009114779,0.0004889664,0.0003511635,0.0000261262,0.0002591448,0.003376563],"genre_scores_gemma":[0.9860247,0.000004181173,0.01362373,0.000005018629,0.0001467786,0.00007087471,0.00008545951,0.00003044614,0.000008849484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.28776,"threshold_uncertainty_score":0.7678369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551044652019709,"score_gpt":0.2522013058903254,"score_spread":0.2366908593701283,"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."}}