{"id":"W4378195014","doi":"10.1109/lcsys.2023.3271448","title":"Guest Editorial Introduction to the IEEE Control Systems Letters Special Section on Data-Driven Analysis and Control","year":2023,"lang":"en","type":"editorial","venue":"IEEE Control Systems Letters","topic":"Control Systems and Identification","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Physical system; Computer science; Ordinary differential equation; Identification (biology); Control (management); Partial differential equation; Section (typography); Control system; Transfer function; Control variable; Differential equation; Control engineering; Calculus (dental); Mathematics; Engineering; Artificial intelligence; Mathematical analysis","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":[0.00329067,0.002468265,0.001919785,0.002400761,0.002131873,0.005680986,0.001969782,0.008584102,0.02375642],"category_scores_gemma":[0.009738688,0.0006592872,0.001356549,0.0008555546,0.00155709,0.00249957,0.0009380319,0.01197571,0.01828146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174046,"about_ca_system_score_gemma":0.001527927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009397782,"about_ca_topic_score_gemma":0.002441406,"domain_scores_codex":[0.9974618,0.0003123348,0.0002457344,0.0003645047,0.001418484,0.0001971357],"domain_scores_gemma":[0.9883655,0.002848625,0.0005542408,0.0003177926,0.00616688,0.001747028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002684116,0.0000112406,0.00001742987,0.00006945388,0.000005811017,0.0000798294,0.000004030137,0.00003508147,0.00007863179,0.0002962927,0.9943652,0.005010201],"study_design_scores_gemma":[0.00003182444,0.00002795372,0.0001640389,0.0001393128,0.00001748315,0.000202222,0.00001589048,0.0002918892,0.0001626774,0.0009736051,0.9979587,0.00001430503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003959612,0.002374847,0.0003421832,0.02900811,0.9652836,0.00001642854,0.00004535178,0.00007773524,0.002812113],"genre_scores_gemma":[0.0006060078,0.002552749,0.0001443782,0.01500229,0.9670559,0.0000182979,0.00003917874,0.00005430861,0.01452693],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02375642,"threshold_uncertainty_score":0.07947314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007881805133511392,"score_gpt":0.2136279035315463,"score_spread":0.2057460983980349,"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."}}