{"id":"W4385931440","doi":"10.1016/j.jprocont.2023.103055","title":"A scenario-based framework for the integration of scheduling and control under multiple uncertainties","year":2023,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Scheduling (production processes); Computer science; Agile software development; Mathematical optimization; Process (computing); Control theory (sociology); Control (management); Mathematics","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":[0.0004669162,0.0001257953,0.0003400863,0.0001488948,0.00007938046,0.00004266333,0.0001317658,0.00008856552,0.000001995747],"category_scores_gemma":[0.001079406,0.00008558577,0.00009319643,0.0002175423,0.00004200555,0.0002154434,0.000003097752,0.0001986409,4.548457e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004286431,"about_ca_system_score_gemma":0.00005836582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002961786,"about_ca_topic_score_gemma":0.000009276147,"domain_scores_codex":[0.9990295,0.00003045908,0.0004992219,0.00007692764,0.0001966865,0.0001672022],"domain_scores_gemma":[0.9974602,0.001561797,0.0003378387,0.00009671864,0.0005006743,0.00004276836],"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":[0.0002438648,0.000008113035,0.0005161113,0.0001472212,0.0001408842,6.651837e-7,0.0002538837,0.9891813,0.00585351,0.0006849372,0.00001053942,0.002959015],"study_design_scores_gemma":[0.004016147,0.00009174596,0.0004826472,0.0002623082,0.00011013,0.000003520439,0.0009753184,0.988808,0.001009259,0.004119498,0.00003654279,0.00008482984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01895318,0.001594998,0.9778227,0.0007933251,0.0002806441,0.0004836912,0.00001289472,0.00005485977,0.000003690913],"genre_scores_gemma":[0.9923244,0.00004088637,0.007257638,0.00008829506,0.0001915145,0.00006246911,0.000001333463,0.00002822211,0.000005303316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9733711,"threshold_uncertainty_score":0.3490086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768800753836876,"score_gpt":0.2736895932934102,"score_spread":0.2560015857550415,"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."}}