{"id":"W2024322747","doi":"10.1115/imece2004-61314","title":"Nonlinear Isolator Optimization Using RMS Cost Function","year":2004,"lang":"en","type":"article","venue":"","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Isolator; Nonlinear system; Control theory (sociology); Displacement (psychology); Describing function; Acceleration; Jump; Stiffness; Mathematical analysis; Mathematics; Physics; Structural engineering; Computer science; Engineering; Classical mechanics; 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":[0.0004002131,0.0007014975,0.0006141666,0.0003640208,0.0001915069,0.0003751293,0.00037511,0.0005203325,0.002388109],"category_scores_gemma":[0.0007171845,0.0002048713,0.0003373477,0.0002486686,0.000244863,0.0004352944,0.0003427998,0.000309861,0.000466323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003570108,"about_ca_system_score_gemma":0.0003379102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227816,"about_ca_topic_score_gemma":0.001327232,"domain_scores_codex":[0.9998253,0.00004833473,0.000007060285,0.00003236791,0.00007004243,0.0000169354],"domain_scores_gemma":[0.9997595,0.0001288811,0.00003401562,0.00001641177,0.00005431783,0.000006894972],"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":[0.000112032,0.00004012706,0.0003914927,0.0001337067,0.00004521461,0.00006944902,0.00004443118,0.8829592,0.02838422,0.004977229,0.0007093094,0.08213363],"study_design_scores_gemma":[0.000002811562,0.00003781312,0.0001154828,0.00000221193,0.000006027857,0.00001389215,0.000002996759,0.996592,0.002337301,0.0004488322,0.0004375351,0.000003177421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0246086,0.0001730623,0.9719841,0.00003860416,0.00001348611,0.0000159324,0.00001659827,0.0003507386,0.002798859],"genre_scores_gemma":[0.6874338,0.0002484996,0.3031131,0.00007540037,0.0000553365,0.0001684456,0.0001661943,0.0004006101,0.008338574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002388109,"threshold_uncertainty_score":0.007989049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332075449945873,"score_gpt":0.280354972906471,"score_spread":0.2570342184070122,"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."}}