{"id":"W2008943610","doi":"10.1016/j.jprocont.2013.11.015","title":"Set-based adaptive estimation for a class of nonlinear systems with time-varying parameters","year":2014,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Control Systems and Identification","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Hatch (Canada)","funders":"","keywords":"Nonlinear system; Set (abstract data type); Class (philosophy); Representation (politics); Computer science; Estimation; Polynomial; Mathematical optimization; Estimation theory; Control theory (sociology); Mathematics; Algorithm; Artificial intelligence; Engineering; Control (management)","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":[0.0004819696,0.000107829,0.0003858849,0.0001325731,0.00002972592,0.00004568962,0.0001042216,0.00005266443,0.00000131924],"category_scores_gemma":[0.0001162629,0.00008300197,0.00008051458,0.00009147703,0.00001544259,0.0002180654,0.000001178471,0.00008682883,0.000001853156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000482038,"about_ca_system_score_gemma":0.00005524079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007841361,"about_ca_topic_score_gemma":0.000002187712,"domain_scores_codex":[0.9990135,0.00003641606,0.0005290711,0.00007445318,0.0002242311,0.0001223452],"domain_scores_gemma":[0.9985838,0.0002124269,0.0005130371,0.00009520268,0.0005421321,0.00005340619],"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":[0.0003845194,0.00001809974,0.00008113204,0.0004760734,0.0001453654,5.945612e-7,0.0001309068,0.9894147,0.006560456,0.00003676701,0.00008525773,0.002666143],"study_design_scores_gemma":[0.00330252,0.0003679178,0.00005876597,0.0003688825,0.0001289009,0.00001048218,0.00007020102,0.9939832,0.0014299,0.00003182223,0.0001569133,0.00009051231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09918588,0.0002555606,0.8997412,0.00005966565,0.0001817992,0.0004657876,0.00001777676,0.00002599878,0.0000663412],"genre_scores_gemma":[0.9965972,8.397782e-7,0.003189493,0.00001045853,0.0001224336,0.00003927609,0.000003331692,0.00002192563,0.00001499185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8974113,"threshold_uncertainty_score":0.3384722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009589994354964469,"score_gpt":0.2209594170857858,"score_spread":0.2113694227308213,"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."}}