{"id":"W1941848411","doi":"10.1364/oe.23.026192","title":"Modeling and compensation of transmitter nonlinearity in coherent optical OFDM","year":2015,"lang":"en","type":"article","venue":"Optics Express","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Telus","keywords":"Predistortion; Transmitter; Orthogonal frequency-division multiplexing; Nonlinear distortion; Amplifier; Computer science; Bit error rate; Electronic engineering; Nonlinear system; Distortion (music); Transmitter power output; Control theory (sociology); Algorithm; Telecommunications; Physics; Bandwidth (computing); Decoding methods; Engineering","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":[0.0001071179,0.00007254757,0.0001280061,0.00005064816,0.000006888269,0.00001189099,0.00005534665,0.00006062664,0.000004352659],"category_scores_gemma":[0.00001525644,0.00007804127,0.00001448942,0.00005047539,0.00003113625,0.0000814382,0.00001511971,0.0001146239,0.000002341673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002816549,"about_ca_system_score_gemma":0.000008871674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001587525,"about_ca_topic_score_gemma":0.000005354958,"domain_scores_codex":[0.9994799,0.00001161351,0.0001961672,0.00008560769,0.0001223623,0.0001042944],"domain_scores_gemma":[0.9997538,0.00001773637,0.000009974282,0.0001085206,0.00004522543,0.00006474338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001178263,0.00003571405,0.0003993894,0.00005877961,0.000008718391,0.000001533641,0.0008108597,0.9842329,0.01315814,0.0006858951,0.00003200461,0.0005642674],"study_design_scores_gemma":[0.0004384403,0.0000136727,0.0001584537,0.00003100189,0.000006159806,0.00000377902,0.0001432419,0.9905536,0.008206284,0.0002800899,0.00008204031,0.00008324919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373356,0.0001056005,0.0600619,0.00003847492,0.0001575405,0.00008842109,0.000004570586,0.0000379222,0.002170036],"genre_scores_gemma":[0.9753917,0.00002179853,0.02450525,0.000004765321,0.00004183068,0.000006698312,0.000004477426,0.00001287475,0.00001059144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03805618,"threshold_uncertainty_score":0.3182431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03845785757125915,"score_gpt":0.2584752664391292,"score_spread":0.2200174088678701,"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."}}