{"id":"W2200626895","doi":"10.1002/acs.2641","title":"Automatic tuning of robust constrained cross‐direction controllers","year":2015,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Computer science; Control engineering; Engineering; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006864168,0.0006770148,0.0005053378,0.0003608853,0.000301276,0.0007729274,0.0006028365,0.0004601451,0.00158938],"category_scores_gemma":[0.001601411,0.0003289635,0.000423379,0.0001737637,0.0004462435,0.0002842454,0.0006486143,0.000607294,0.0002638746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004263066,"about_ca_system_score_gemma":0.0006371567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003687292,"about_ca_topic_score_gemma":0.00220006,"domain_scores_codex":[0.9995137,0.00007527518,0.00002868492,0.0001531532,0.0001688367,0.00006025812],"domain_scores_gemma":[0.9990423,0.0003925842,0.0002059801,0.000106571,0.0002292787,0.00002315666],"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":[0.0001592785,0.0000736056,0.0004435859,0.0001525376,0.00004882188,0.00007376644,0.0001004504,0.8757462,0.04881559,0.005246695,0.0006981607,0.06844132],"study_design_scores_gemma":[0.00001343734,0.00005039012,0.000181742,0.000006000813,0.000004627276,0.000008953233,0.00000496082,0.9926953,0.006187378,0.000440846,0.0003997821,0.000006557946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05868199,0.0001110224,0.9352877,0.00004326398,0.00002914106,0.0000492664,0.00002405125,0.000911795,0.004861698],"genre_scores_gemma":[0.9731083,0.00002672367,0.02580358,0.00002443179,0.000007269254,0.00005871059,0.00002952556,0.00003450117,0.0009069301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003687292,"threshold_uncertainty_score":0.007331669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629678377360671,"score_gpt":0.2569619494352849,"score_spread":0.2306651656616782,"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."}}