{"id":"W2080347244","doi":"10.1109/jqe.2012.2183116","title":"Modeling of Pulse Propagation in Layered Structures With Resonant Nonlinearities Using a Generalized Time-Domain Transfer Matrix Method","year":2012,"lang":"en","type":"article","venue":"IEEE Journal of Quantum Electronics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Finite-difference time-domain method; Nonlinear system; Time domain; Transfer-matrix method (optics); Dispersion (optics); Frequency domain; Fourier transform; Matrix (chemical analysis); Transfer matrix; Physics; Computation; Optics; Computer science; Mathematical analysis; Algorithm; Mathematics; Materials science; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007225396,0.0001698645,0.0004306195,0.0001871866,0.00002867508,0.00001849526,0.0001336182,0.0001020375,0.00001287585],"category_scores_gemma":[0.00001327584,0.0001275265,0.00008959223,0.0002083724,0.00002280354,0.0003322409,0.000004766958,0.0004148576,4.030114e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685188,"about_ca_system_score_gemma":0.0001585854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002946797,"about_ca_topic_score_gemma":0.00003278323,"domain_scores_codex":[0.9984812,0.0001013361,0.0006006744,0.00007727165,0.0003040644,0.0004354797],"domain_scores_gemma":[0.9995799,0.00005316654,0.00007647758,0.00009762393,0.0001062214,0.0000865828],"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":[0.0002845707,0.00004339353,0.00003382277,0.0001063636,0.00008779226,0.000006910608,0.0005104961,0.787563,0.2072163,0.003823865,0.000001779221,0.0003217167],"study_design_scores_gemma":[0.0008923479,0.000165296,0.00002520312,0.0001175887,0.00006422272,0.0001655262,0.00009085886,0.9433115,0.05350304,0.001476673,0.00003740095,0.0001503917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6721336,0.005027129,0.322642,0.00001480726,0.00006661639,0.00008332905,0.000004230713,0.00001066433,0.00001763607],"genre_scores_gemma":[0.9518557,0.0003934495,0.04757738,0.000009818569,0.0001219112,0.000001568746,0.000001483903,0.00003567074,0.000003025866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2797221,"threshold_uncertainty_score":0.520038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887426287672301,"score_gpt":0.2777560332663461,"score_spread":0.2588817703896231,"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."}}