{"id":"W3202205958","doi":"10.1109/aces53325.2021.00054","title":"An Adjoint Sensitivity Analysis Approach Exploiting Inverse Nonlinear Schrödinger Equation","year":2021,"lang":"en","type":"article","venue":"2021 International Applied Computational Electromagnetics Society Symposium (ACES)","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Adjoint equation; Sensitivity (control systems); Nonlinear system; Inverse problem; Mathematics; Inverse; Nonlinear Schrödinger equation; Applied mathematics; Mathematical optimization; Mathematical analysis; Schrödinger equation; Partial differential equation; Physics; Engineering; Electronic engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007251474,0.0006025967,0.0004821481,0.0005536663,0.0003292324,0.0007934927,0.0005453218,0.0007987813,0.002068625],"category_scores_gemma":[0.001559116,0.0002677643,0.0006029098,0.0002353895,0.0007911032,0.0007959783,0.001200384,0.001235593,0.0002992515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256487,"about_ca_system_score_gemma":0.0006769978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001016121,"about_ca_topic_score_gemma":0.0006826554,"domain_scores_codex":[0.9997211,0.000107256,0.000009675909,0.00003474321,0.0001064868,0.00002066747],"domain_scores_gemma":[0.9995522,0.0002824998,0.00002995761,0.00003735947,0.00007777521,0.00002019436],"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":[0.00006830457,0.00007737442,0.0005511644,0.0001608286,0.00005603464,0.0001889022,0.000112803,0.7913525,0.02487776,0.1353967,0.001225426,0.04593222],"study_design_scores_gemma":[0.000002965256,0.00001250345,0.00003996531,0.000004688771,0.000003548368,0.00002625735,0.00000483956,0.9878653,0.001361655,0.009910669,0.0007603589,0.00000727381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004603446,0.0000676007,0.9918891,0.0001193603,0.00003482555,0.00002217625,0.0000180818,0.0001207066,0.003124681],"genre_scores_gemma":[0.5020539,0.0003524312,0.4903398,0.0002384803,0.00009623115,0.0001998313,0.0001029159,0.0001924235,0.006423956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002068625,"threshold_uncertainty_score":0.006920278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008792141065987712,"score_gpt":0.2145272471817598,"score_spread":0.2057351061157721,"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."}}