{"id":"W1978028164","doi":"10.1115/1.3179237","title":"Stability Based Robust Eigenvalue Design for Tolerance","year":2009,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; City University of Hong Kong","keywords":"Eigenvalues and eigenvectors; Robustness (evolution); Jacobian matrix and determinant; Control theory (sociology); Sensitivity (control systems); Eigenvalue perturbation; Mathematics; Stability (learning theory); Mathematical optimization; Computer science; Applied mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001235201,0.001208686,0.0009760667,0.0006805106,0.0004059592,0.000888465,0.0009328084,0.000667953,0.002718825],"category_scores_gemma":[0.002611039,0.0004266721,0.0008249104,0.000498654,0.0008514808,0.001012796,0.001425392,0.0009152226,0.0009712328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005108843,"about_ca_system_score_gemma":0.0006986074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004909557,"about_ca_topic_score_gemma":0.0003600351,"domain_scores_codex":[0.9988852,0.0002968534,0.00005308804,0.0001961647,0.0005000168,0.000068643],"domain_scores_gemma":[0.9992208,0.0002676221,0.0001510455,0.00009834759,0.000239284,0.00002279029],"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":[0.00009570691,0.00006124546,0.0002585306,0.0002572338,0.00007356566,0.0001013872,0.0001717966,0.6803855,0.0622979,0.1422694,0.001448956,0.1125787],"study_design_scores_gemma":[0.00001466407,0.0001410611,0.00008498217,0.00001691319,0.0000167228,0.00006534552,0.0000150704,0.9625143,0.01008132,0.02328913,0.003735895,0.00002454347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001169634,0.00003533094,0.9977064,0.00001754701,0.000008468662,0.00001133883,0.000004137969,0.00007539792,0.0009716882],"genre_scores_gemma":[0.3772947,0.0003518375,0.6164719,0.0001073607,0.00008255277,0.0004049253,0.00008164509,0.0002030839,0.005002027],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002718825,"threshold_uncertainty_score":0.00909543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2655176531858352,"score_gpt":0.3495287522419072,"score_spread":0.08401109905607196,"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."}}