{"id":"W1966060888","doi":"10.1117/12.2074777","title":"An efficient scheme of split-step Fourier method for fiber optic communication systems","year":2014,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Nonlinear system; Fourier transform; Algorithm; Mathematics; Scheme (mathematics); Mathematical optimization; Computer science; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002855841,0.0002921684,0.0002885858,0.0001996533,0.0003357859,0.0002176338,0.0005953032,0.0004647516,0.001727592],"category_scores_gemma":[0.0003778327,0.0001289465,0.0002602663,0.0002667771,0.0002953077,0.0008837799,0.0004202933,0.0005891692,0.0003202449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003160772,"about_ca_system_score_gemma":0.0005274359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004750827,"about_ca_topic_score_gemma":0.0006591634,"domain_scores_codex":[0.9998661,0.00003021634,0.000006004043,0.0000133807,0.00007467796,0.000009512238],"domain_scores_gemma":[0.999897,0.00002729377,0.00001166208,0.00002907219,0.00002698775,0.0000079642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002436329,0.0001734988,0.001122192,0.00043724,0.00007558877,0.0002610352,0.0004120651,0.0816421,0.2791271,0.3733568,0.003988,0.2591608],"study_design_scores_gemma":[0.00003578319,0.00008540075,0.0002548961,0.00001340683,0.000009835619,0.0001858917,0.00001923227,0.9607601,0.02474844,0.009134782,0.004727013,0.00002522305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06063071,0.0005629096,0.932299,0.0002529306,0.0001128002,0.0001170905,0.00005211351,0.0001797262,0.005792743],"genre_scores_gemma":[0.3888917,0.0004463883,0.6046784,0.00007903372,0.00003078555,0.0002050321,0.00007266775,0.00003214836,0.005563963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001727592,"threshold_uncertainty_score":0.005779326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092752445972178,"score_gpt":0.243012233629135,"score_spread":0.2320847091694132,"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."}}