{"id":"W3092379632","doi":"10.1364/sppcom.2020.spth3i.2","title":"Some Practical Aspects of Nonlinear Mitigation via Multi-Subcarrier Modulation","year":2020,"lang":"en","type":"article","venue":"OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF)","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada)","funders":"","keywords":"Subcarrier; Baud; Nonlinear system; Modulation (music); Phase noise; Computer science; Electronic engineering; Noise (video); Phase modulation; Quadrature amplitude modulation; Telecommunications; Physics; Orthogonal frequency-division multiplexing; Bit error rate; Engineering; Acoustics; Artificial intelligence","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"],"consensus_categories":[],"category_scores_codex":[0.000332467,0.001046248,0.001380403,0.0001817855,0.0002388508,0.000160715,0.0008626951,0.0009547151,0.0001704543],"category_scores_gemma":[0.0006359397,0.001164713,0.0003924244,0.001348386,0.0004709154,0.001360007,0.0004521481,0.001862776,0.0000984455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003447998,"about_ca_system_score_gemma":0.0001197587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001126376,"about_ca_topic_score_gemma":0.00004337089,"domain_scores_codex":[0.9948206,0.0001575521,0.001547988,0.00127236,0.0007939947,0.001407525],"domain_scores_gemma":[0.9964734,0.0007112787,0.0005532242,0.001255748,0.0003860817,0.0006203107],"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":[0.0003651742,0.0002357705,0.0008507167,0.0003139621,0.0003875468,0.0001767826,0.0001982392,0.9701749,0.01262647,0.005708627,0.001432305,0.007529516],"study_design_scores_gemma":[0.002562122,0.0002716032,0.0003587042,0.0001680396,0.0001545376,0.00003284139,0.0001199831,0.9726723,0.01469633,0.002026537,0.005803016,0.001133994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7018275,0.01133257,0.2580083,0.004006626,0.008919873,0.005603453,0.0004606855,0.007322523,0.002518457],"genre_scores_gemma":[0.8305556,0.00191902,0.1656514,0.000360413,0.0006228004,0.0001989195,0.0003300237,0.0003080971,0.00005378934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1287281,"threshold_uncertainty_score":0.9990803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354579254409633,"score_gpt":0.250850560148048,"score_spread":0.2373047676039517,"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."}}