{"id":"W3213022445","doi":"","title":"Nonlinearity Compensation for Next Generation Coherent Optical Fiber Communication Systems","year":2017,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University","keywords":"Compensation (psychology); Nonlinear system; Optical fiber; Optical communication; Computer science; Electronic engineering; Optics; Telecommunications; Physics; Engineering; Psychology; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001873021,0.0003068498,0.0001691401,0.0003193494,0.0004783381,0.0005026694,0.0003736709,0.0005459675,0.003681303],"category_scores_gemma":[0.0003433584,0.0001230698,0.0001549184,0.0002275006,0.0002001321,0.0007914215,0.0003481653,0.0006071074,0.0009903999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007400023,"about_ca_system_score_gemma":0.0005292933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022232,"about_ca_topic_score_gemma":0.002680798,"domain_scores_codex":[0.9998287,0.00001693326,0.000005826086,0.00002640378,0.0001024801,0.00001959032],"domain_scores_gemma":[0.9998635,0.00002770664,0.00003137284,0.0000156406,0.00005441443,0.000007272381],"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":[0.0001878886,0.0001314648,0.001150678,0.0002684262,0.00003800165,0.0001429778,0.0001252143,0.04545039,0.6144698,0.04416817,0.003882091,0.2899848],"study_design_scores_gemma":[0.00002634884,0.0004197253,0.002018131,0.0001291364,0.00003949541,0.0003913449,0.00008044549,0.6739125,0.2519394,0.01029817,0.06067367,0.00007164188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1362913,0.0079517,0.8207818,0.002185815,0.0005042428,0.0001358645,0.0001445257,0.001131905,0.03087289],"genre_scores_gemma":[0.6907238,0.003880087,0.2798303,0.000558127,0.0002981763,0.00009237079,0.0002263526,0.00007432076,0.02431642],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003681303,"threshold_uncertainty_score":0.01231515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210559789912809,"score_gpt":0.2164475350713449,"score_spread":0.1943419371722168,"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."}}