{"id":"W1999074897","doi":"10.1002/cjce.5450850407","title":"Dependence of the Error in the Optimal Solution of Perturbation‐Based Extremum Seeking Methods on the Excitation Frequency","year":2007,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Polytechnique Montréal","funders":"","keywords":"Dither; Excitation; Amplitude; Perturbation (astronomy); Control theory (sociology); Mathematics; Instability; Zero (linguistics); Physics; Mathematical analysis; Quantum mechanics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0036397,0.0001367879,0.0001975059,0.0001633111,0.00007809503,0.00002569692,0.0006655686,0.00008909265,0.000006908258],"category_scores_gemma":[0.001246884,0.00007272539,0.0001329416,0.0004279303,0.00007241548,0.00008488804,0.000007738347,0.0007401532,3.792569e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003095595,"about_ca_system_score_gemma":0.000143602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006181655,"about_ca_topic_score_gemma":0.0005925359,"domain_scores_codex":[0.9985876,0.0001676407,0.0005641784,0.00006908287,0.0003365206,0.0002749694],"domain_scores_gemma":[0.9977559,0.001577294,0.0002018548,0.0002808268,0.0001088241,0.00007523336],"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":[0.000008377475,0.00000490514,0.0001897517,0.00004072037,0.00002964077,0.00000444281,0.001950632,0.1914029,0.8045062,0.001406032,0.00002514162,0.0004312788],"study_design_scores_gemma":[0.0003958915,0.00002903781,0.003456238,0.0005044047,0.0000449994,0.00006196695,0.0002884474,0.9467578,0.0476916,0.0005497509,0.00007326465,0.000146576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6937817,0.0009428278,0.301938,0.001643576,0.0006676672,0.0003177847,0.000004988154,0.00001797133,0.0006855244],"genre_scores_gemma":[0.9973077,7.559595e-7,0.002476141,0.00005640695,0.0001300095,0.000003860768,4.460834e-7,0.00002138969,0.000003289598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7568146,"threshold_uncertainty_score":0.3215639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115152012892384,"score_gpt":0.2441590731075412,"score_spread":0.2230075529786174,"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."}}