{"id":"W2186295185","doi":"","title":"PARAMETER ESTIMATION TECHNIQUES FOR NONLINEAR DYNAMIC MODELS WITH LIMITED DATA, PROCESS DISTURBANCES AND MODELING ERRORS","year":2013,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Estimation theory; Computer science; Nonlinear system; Process (computing); Estimation; Control theory (sociology); Algorithm; Artificial intelligence; Engineering; Control (management)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002784794,0.001270745,0.00137319,0.001119988,0.0005142287,0.001158465,0.001287117,0.001116805,0.002175993],"category_scores_gemma":[0.01086238,0.00093917,0.001598396,0.001297939,0.0009483818,0.002052919,0.001414581,0.002615422,0.0007424498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006298276,"about_ca_system_score_gemma":0.001147194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00296323,"about_ca_topic_score_gemma":0.002480433,"domain_scores_codex":[0.9988306,0.0003726085,0.0001118857,0.0002737885,0.0003596993,0.00005136054],"domain_scores_gemma":[0.996055,0.002917588,0.000347852,0.000233934,0.0004209979,0.00002447212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003741691,0.00004348276,0.000818982,0.00033244,0.00009368391,0.0001069327,0.0001844924,0.7613508,0.003404721,0.03860199,0.001077377,0.1939477],"study_design_scores_gemma":[0.000003618433,0.00001597574,0.0001518556,0.00002577489,0.00001189812,0.00003424324,0.00001564898,0.9843688,0.001077469,0.01242415,0.001856636,0.00001386911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005536143,0.0001549179,0.9990205,0.00003453786,0.000009017021,0.000007939611,0.000009261724,0.00005437451,0.0001558866],"genre_scores_gemma":[0.1310896,0.002763626,0.8608643,0.0001601318,0.0001531452,0.0003893758,0.0003252685,0.0002092883,0.004045163],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00296323,"threshold_uncertainty_score":0.01472753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093173826838401,"score_gpt":0.1964065697303412,"score_spread":0.1854748314619572,"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."}}