{"id":"W2606983611","doi":"10.1021/acs.iecr.7b00234","title":"Handling Model Plant Mismatch in State Estimation Using a Multiple-Model-Based Approach","year":2017,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Offset (computer science); Computer science; Control theory (sociology); Unbiased Estimation; Model predictive control; Froth flotation; Nonlinear system; System identification; Control (management); Mathematics; Statistics; Data modeling; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001031464,0.0002512378,0.0003209235,0.0001793048,0.0002404652,0.000344956,0.0004669383,0.0003493753,0.000003306509],"category_scores_gemma":[0.0005892822,0.0002842709,0.00007112871,0.0001891404,0.00004886719,0.0002051993,0.00006291956,0.001200152,0.000004150024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004671068,"about_ca_system_score_gemma":0.0001724506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002089012,"about_ca_topic_score_gemma":0.000007421992,"domain_scores_codex":[0.9980211,0.00002479402,0.0004109683,0.0003351398,0.0005290689,0.0006789439],"domain_scores_gemma":[0.9989835,0.0001151845,0.00005480359,0.0005868836,0.00007346008,0.0001861923],"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":[0.00003805579,0.00001714527,0.00009104604,0.0001499964,0.00001433267,0.000007652076,0.00006202619,0.7138565,0.2851521,0.000001488772,0.00002803865,0.00058164],"study_design_scores_gemma":[0.001780885,0.000005574114,0.000006428997,0.0002176858,0.000004490077,0.000006418336,0.00002082511,0.8826277,0.1150269,0.00001011082,0.00004996606,0.0002430867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.87872,0.00006079623,0.1193931,0.0000256328,0.0002092724,0.0004475308,0.00004948092,0.0003020056,0.0007921979],"genre_scores_gemma":[0.9984924,0.0000034588,0.0009797596,0.000001183104,0.000193702,0.0001078517,0.00002327771,0.00006885204,0.0001295487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1701253,"threshold_uncertainty_score":0.999961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1382799758872017,"score_gpt":0.3319120224532016,"score_spread":0.1936320465659999,"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."}}