{"id":"W4411918367","doi":"10.5220/0013508000003970","title":"Advanced Predictive Process Control for Industrial Thickeners","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Model predictive control; Process control; Process (computing); Computer science; Control (management); Process engineering; Artificial intelligence; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00007366163,0.0001135603,0.0001787304,0.0000734603,0.00004351963,0.0000157724,0.00009002626,0.0001127532,0.000005990103],"category_scores_gemma":[0.000144965,0.0001083247,0.0000374955,0.0001735205,0.00001318024,0.0001879585,0.000004181915,0.00008808155,0.000001934523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008409515,"about_ca_system_score_gemma":0.00003800172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001280271,"about_ca_topic_score_gemma":0.000004549617,"domain_scores_codex":[0.9994002,0.000009866365,0.0001992429,0.0001414795,0.00006951914,0.0001796881],"domain_scores_gemma":[0.9996069,0.0001157547,0.00002595332,0.0001128968,0.0001078925,0.00003059316],"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":[0.0001277904,0.00000517545,0.0001024551,0.00003867133,0.00007175885,1.280407e-7,0.00003605582,0.989518,0.000613378,0.002444363,0.000588886,0.006453308],"study_design_scores_gemma":[0.005756448,0.0000476994,0.00002660848,0.00005566404,0.00003771664,2.778459e-7,0.000183299,0.9863009,0.002433941,0.001534783,0.003479052,0.000143565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0011263,0.0001156604,0.9811772,0.0001186679,0.0006744666,0.00120535,0.00002373668,0.0005726752,0.01498601],"genre_scores_gemma":[0.9964867,0.000004144593,0.001849393,0.00008782191,0.0001134355,0.0006734821,0.00001134469,0.00002061209,0.000753023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9953604,"threshold_uncertainty_score":0.4417352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006289660551166818,"score_gpt":0.2366623122417198,"score_spread":0.230372651690553,"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."}}