{"id":"W3155069932","doi":"10.1109/mias.2021.3063089","title":"Industrial Petrochemical Applications: Analysis of Progrmmable Logic Controllers and Distributed Control Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Industry Applications Magazine","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rockwell Automation (Canada)","funders":"","keywords":"Programmable logic controller; Industrial control system; Distributed control system; Control engineering; Process control; Control system; Petrochemical; Process (computing); Bridge (graph theory); Engineering; Control logic; Advanced process control; Control (management); Instrumentation and control engineering; Computer science; Systems engineering; Electrical engineering; Computer hardware; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001941884,0.000260387,0.0007393269,0.0002410461,0.00009267056,0.0000671511,0.0001935875,0.0005499368,0.00002981526],"category_scores_gemma":[0.00006237967,0.0002840059,0.0001170586,0.002304932,0.0001099969,0.0001463527,0.0000230356,0.000501891,0.00001459866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001524268,"about_ca_system_score_gemma":0.00007307555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006157546,"about_ca_topic_score_gemma":0.000004732279,"domain_scores_codex":[0.9981665,0.00006841624,0.0007935069,0.0004183842,0.0002408098,0.0003123562],"domain_scores_gemma":[0.9983414,0.0002181613,0.0002496816,0.0006157596,0.0004051051,0.0001698492],"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":[0.00002620284,0.0001067384,0.002382202,0.00008320398,0.001299464,0.00000270192,0.000009168721,0.9617898,0.02996008,0.002288085,0.000571377,0.001481021],"study_design_scores_gemma":[0.005220382,0.00003927223,0.0008237881,0.00005990095,0.002743873,0.00003908545,0.0002150192,0.9447862,0.002817761,0.0002729749,0.04231622,0.0006655225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006886,0.00177239,0.9866976,0.000178086,0.0001025384,0.002016857,0.0008716641,0.0003441062,0.00113072],"genre_scores_gemma":[0.9939578,0.00006080944,0.001075213,0.00002415434,0.0002733472,0.0037425,0.0006176435,0.00003663453,0.0002119366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9870718,"threshold_uncertainty_score":0.9999612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397958341379041,"score_gpt":0.2361894347388511,"score_spread":0.2222098513250607,"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."}}