{"id":"W4388537992","doi":"10.18280/jesa.560510","title":"Non-Linear PID Control of Fluid Catalytic Cracking Unit","year":2023,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fluid catalytic cracking; PID controller; Cracking; Unit (ring theory); Materials science; Control theory (sociology); Control (management); Computer science; Mathematics; Composite material; Engineering; Control engineering; Temperature control; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005147517,0.0005004048,0.0003432409,0.00019063,0.0003297614,0.0008450908,0.0006910619,0.0004467184,0.0009869547],"category_scores_gemma":[0.0009923191,0.0002116449,0.0002132203,0.0001259568,0.0004549357,0.0002985761,0.0003600868,0.0004891194,0.0002301014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004935944,"about_ca_system_score_gemma":0.000664315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003253117,"about_ca_topic_score_gemma":0.002536427,"domain_scores_codex":[0.9997073,0.00004726608,0.00001507133,0.00008670105,0.0001057327,0.00003795741],"domain_scores_gemma":[0.999684,0.0001181223,0.00006509634,0.00002111177,0.00009664829,0.00001511878],"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":[0.0006019092,0.0001695703,0.001198106,0.0004238425,0.00004068814,0.0002625099,0.000224493,0.7596902,0.1233196,0.004177337,0.001066104,0.1088256],"study_design_scores_gemma":[0.00002212604,0.0001678642,0.00040185,0.000005403923,0.00000971387,0.00002436363,0.000007982885,0.9860339,0.01224463,0.0002455077,0.0008280284,0.000008658442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.181514,0.0005596839,0.8047,0.0001665498,0.0001848022,0.0001231795,0.00004736622,0.000873488,0.011831],"genre_scores_gemma":[0.9823654,0.00008276881,0.01485635,0.00002095805,0.00001023799,0.00004018679,0.00001286121,0.00001184103,0.0025994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003253117,"threshold_uncertainty_score":0.006468356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747619121034266,"score_gpt":0.2556830353522428,"score_spread":0.2382068441419002,"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."}}