{"id":"W3198394023","doi":"10.1016/j.ifacol.2021.08.304","title":"Integration of Scheduling and Control Under Stochastic Parametric Uncertainty with Varying Unit Operation Times for Chemical Batch Plants: A Back-Off Approach","year":2021,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Process Optimization and Integration","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematical optimization; Parametric statistics; Scheduling (production processes); Minification; Computer science; Job shop scheduling; Mathematics; Schedule; Statistics","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":[0.001340264,0.001262337,0.001341603,0.0004725845,0.0005130818,0.001829175,0.001103586,0.001143176,0.002792856],"category_scores_gemma":[0.002972259,0.0008622261,0.001082986,0.0003807865,0.001004691,0.00122327,0.001626615,0.002031893,0.0003349741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009630803,"about_ca_system_score_gemma":0.001622396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004190012,"about_ca_topic_score_gemma":0.002812432,"domain_scores_codex":[0.9994143,0.0001653031,0.00002464928,0.00008957461,0.0002216515,0.00008449897],"domain_scores_gemma":[0.9989544,0.0006872024,0.0001040554,0.0000743948,0.0001331456,0.00004676845],"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":[0.00006978549,0.00006055857,0.0001472847,0.00004915617,0.00001887178,0.00005234788,0.000044931,0.9665409,0.001634425,0.008985571,0.0001953866,0.02220071],"study_design_scores_gemma":[0.000003286843,0.00002077511,0.00002057061,0.000003167206,0.000002296432,0.000003321366,0.000003154945,0.9980496,0.000346247,0.001414206,0.000130939,0.000002410476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01116232,0.0001145862,0.9856889,0.0001001666,0.00003450227,0.0000566143,0.00002244577,0.0001657914,0.002654665],"genre_scores_gemma":[0.714219,0.0002898709,0.280329,0.0002120413,0.00008544193,0.000356093,0.0001592044,0.0002190392,0.004130242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004190012,"threshold_uncertainty_score":0.009343088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653687921194376,"score_gpt":0.2341611385228228,"score_spread":0.2176242593108791,"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."}}