{"id":"W4407126885","doi":"10.1109/tac.2025.3538798","title":"Data-Driven Learning and Control With Event-Triggered Measurements","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Control (management); Event (particle physics); Control theory (sociology); Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002307612,0.001273377,0.001209501,0.0004670929,0.0003709753,0.001897566,0.001974368,0.001555606,0.001667662],"category_scores_gemma":[0.008796295,0.0006224396,0.000925395,0.0007742724,0.001474616,0.002006088,0.001959489,0.002970986,0.0003312651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012334,"about_ca_system_score_gemma":0.001393664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002953278,"about_ca_topic_score_gemma":0.00180216,"domain_scores_codex":[0.9980737,0.0004317897,0.0001377282,0.0006241042,0.0005924078,0.0001401789],"domain_scores_gemma":[0.9952033,0.003049716,0.0005332743,0.0004504248,0.0006537475,0.0001096845],"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":[0.0001944885,0.00007604084,0.0004783424,0.0003006502,0.00006578835,0.000130851,0.0001296465,0.8836058,0.003203692,0.06051663,0.0008763185,0.05042175],"study_design_scores_gemma":[0.000009991109,0.00002843299,0.00006809906,0.00001054202,0.000005444888,0.00001100865,0.000006062654,0.9862463,0.001228672,0.01179329,0.0005847875,0.000007293288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00267422,0.0001785499,0.9960763,0.0001127751,0.00003045379,0.00002373323,0.00003211657,0.0001325167,0.0007394606],"genre_scores_gemma":[0.8375783,0.0007765859,0.156863,0.000282931,0.000164237,0.0004342632,0.0003858776,0.00009972729,0.003415069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002953278,"threshold_uncertainty_score":0.01220393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395694766673605,"score_gpt":0.2429307321186632,"score_spread":0.2289737844519272,"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."}}