{"id":"W4411623305","doi":"10.1515/nleng-2025-0147","title":"Theoretical and numerical approach for quantifying sensitivity to system parameters of nonlinear systems","year":2025,"lang":"en","type":"article","venue":"Nonlinear Engineering","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Xiamen University of Technology; Xiamen University; Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Sensitivity (control systems); Nonlinear system; Control theory (sociology); Biological system; Mathematics; Applied mathematics; Computer science; Physics; Engineering; Electronic engineering; Artificial intelligence; Biology","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":[0.0002193527,0.000120663,0.0002851409,0.00007548288,0.00003793548,0.00003338862,0.00004483999,0.00004025354,0.000001101365],"category_scores_gemma":[0.00003339377,0.0001131496,0.00006215472,0.0001524847,0.00001760777,0.00003351988,0.00003470585,0.00007433904,6.497086e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002522306,"about_ca_system_score_gemma":0.0000213137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003752132,"about_ca_topic_score_gemma":1.125239e-7,"domain_scores_codex":[0.9993161,0.00002219387,0.0002222051,0.0001921392,0.00007645856,0.0001709318],"domain_scores_gemma":[0.9995343,0.0001754941,0.00003477319,0.0001290347,0.00006882053,0.00005757676],"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":[0.00008747517,0.0001272994,0.004499573,0.001402476,0.0002413842,0.000001227355,0.0002155653,0.4780238,0.01158544,0.4953873,0.0000173021,0.008411103],"study_design_scores_gemma":[0.0003603113,0.00002160881,0.0001205635,0.0001014142,0.00003420635,0.000001028654,0.000190403,0.9972414,0.001699965,0.000008295458,0.0001202794,0.0001004959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1206284,0.00003944817,0.8784637,0.00002616452,0.0001420256,0.0003521333,0.0000572857,0.00003972092,0.0002510137],"genre_scores_gemma":[0.9188625,2.202325e-7,0.08089279,0.000005819712,0.0001468406,0.00003251122,0.00003552633,0.00001448164,0.000009373639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.798234,"threshold_uncertainty_score":0.4614107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009167592176868477,"score_gpt":0.2346518509368287,"score_spread":0.2254842587599602,"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."}}