{"id":"W4205659112","doi":"10.1109/ccta48906.2021.9659185","title":"[CCTA 2021 Front matter]","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Conference on Control Technology and Applications (CCTA)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Aerospace Exploration Agency; Indian Institute of Technology Kharagpur; National Institute of Technology Rourkela; Office of Naval Research; Università degli Studi di Parma; Korea Advanced Institute of Science and Technology; Coventry University; Cranfield University; Istanbul Teknik Üniversitesi; National Science Foundation; Oklahoma State University; Politecnico di Torino; Keio University; McGill University; Institut national de recherche en informatique et en automatique (INRIA); Jilin University; Clemson University; Cummins Incorporated; Drexel University; Università di Bologna; Nanyang Technological University; Université de Lille; Georgia Institute of Technology; Universiteit Gent; U.S. Naval Academy; Purdue University; National Taiwan University; Shandong University; Tulane University; Ford Motor Company; Zhejiang University","keywords":"Mechatronics; Feed forward; Focus (optics); Control (management); Computer science; Front (military); Control system; Variable (mathematics); Control engineering; Engineering; Electrical engineering; Artificial intelligence; Mechanical engineering; Physics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005570926,0.000204981,0.0002682629,0.0001952031,0.0001637614,0.00007668483,0.0002076312,0.0002861635,0.001713188],"category_scores_gemma":[0.00001346298,0.0002150728,0.0000387082,0.0002849758,0.00009968052,0.00007393053,0.00003149964,0.0003194325,0.000529937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000270893,"about_ca_system_score_gemma":0.00004341508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000231542,"about_ca_topic_score_gemma":0.00002248146,"domain_scores_codex":[0.9990006,0.00001571049,0.0002334468,0.0003990781,0.00009148003,0.0002596712],"domain_scores_gemma":[0.9992221,0.00003952992,0.00005142362,0.000492014,0.0001294139,0.00006552511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006299365,0.0004625561,0.004658053,0.0004492193,0.0005318078,0.00005600718,0.0001972552,0.03289488,0.05449062,0.283393,0.01143841,0.6113651],"study_design_scores_gemma":[0.00602936,0.0002287969,0.005845272,0.0004309771,0.000424285,0.0001424836,0.000899506,0.3324239,0.2001247,0.06961405,0.3810532,0.002783438],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02853887,0.002436821,0.9075732,0.009891807,0.0003739104,0.0009282636,0.0001334054,0.0006904404,0.04943331],"genre_scores_gemma":[0.9947355,0.0008892339,0.00142201,0.0001879276,0.0001036219,0.0006397004,0.00003954176,0.00002564733,0.001956802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9661967,"threshold_uncertainty_score":0.9991994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007141729420618608,"score_gpt":0.2087611559696025,"score_spread":0.2016194265489839,"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."}}