{"id":"W1519205603","doi":"10.1109/acc.2015.7172114","title":"Detecting model-plant mismatch without external excitation","year":2015,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Honeywell (Canada); University of British Columbia","funders":"","keywords":"sort; Computer science; Control theory (sociology); Process (computing); Excitation; Closed loop; Loop (graph theory); Process control; Control (management); Artificial intelligence; Engineering; Mathematics; Control 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":[0.001112442,0.0006808161,0.0006972446,0.0005192722,0.0002651686,0.0006486984,0.0003379585,0.0008875821,0.0008704509],"category_scores_gemma":[0.008391127,0.0002639425,0.0002554766,0.0003704546,0.0003582867,0.0009738327,0.001004397,0.0006771587,0.0002624734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229361,"about_ca_system_score_gemma":0.000406195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007040979,"about_ca_topic_score_gemma":0.0007050477,"domain_scores_codex":[0.9987679,0.0002537548,0.00009615513,0.0003265272,0.0004286465,0.0001269312],"domain_scores_gemma":[0.9958541,0.002206751,0.0007083897,0.0006960398,0.0004290795,0.0001057214],"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":[0.002732219,0.0005812719,0.06493354,0.0005711511,0.0003439386,0.00161696,0.0005703532,0.3411591,0.3215793,0.004942805,0.001223979,0.2597452],"study_design_scores_gemma":[0.00003916801,0.0005879585,0.03357251,0.00002710968,0.0000537796,0.0008426137,0.00009216784,0.8234124,0.1378566,0.002293443,0.0011529,0.00006942122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4349859,0.0001480948,0.5619891,0.00009598983,0.00004427657,0.00004322695,0.00009731278,0.001146254,0.001449878],"genre_scores_gemma":[0.9762993,0.00002266549,0.02321632,0.00003225999,0.000006692856,0.00001513836,0.00009699476,0.00003668167,0.0002738976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001112442,"threshold_uncertainty_score":0.005883276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102007760166428,"score_gpt":0.224039923176001,"score_spread":0.1930198455743367,"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."}}