{"id":"W4320489445","doi":"10.1007/978-3-031-19354-5_1","title":"Introduction","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in industrial control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Victoria","funders":"","keywords":"Model predictive control; Computer science; Control (management); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004581557,0.0009027631,0.0005702801,0.001634148,0.001129511,0.003373275,0.001345187,0.001462175,0.5628471],"category_scores_gemma":[0.001561702,0.0003378457,0.000470009,0.00143872,0.0004350564,0.002367081,0.001861215,0.001557053,0.4658712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101525,"about_ca_system_score_gemma":0.001428391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001965837,"about_ca_topic_score_gemma":0.003624545,"domain_scores_codex":[0.999496,0.00004425053,0.00001530614,0.00009522359,0.0002975816,0.00005169782],"domain_scores_gemma":[0.9994695,0.00007823682,0.00001821916,0.00007818887,0.0002719512,0.00008384634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002044115,0.00003404352,0.00006889099,0.0001513395,0.000002112419,0.00004419349,0.0000818925,0.0002057097,0.0004902181,0.03059257,0.7861553,0.1821532],"study_design_scores_gemma":[0.000001307701,0.000005097937,0.00005138138,0.00004741228,7.253257e-7,0.00002784652,0.00002050546,0.00003167245,0.00008349166,0.003025262,0.9967033,0.00000199051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002906133,0.002437253,0.005104013,0.001467827,0.003339281,0.000111371,0.001597937,0.0007069039,0.9849449],"genre_scores_gemma":[0.0007571746,0.00125094,0.001242272,0.0005466421,0.0004346094,0.00004886579,0.00106394,0.0001794966,0.9944761],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4371529,"threshold_uncertainty_score":0.6235456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596645592884579,"score_gpt":0.2183788986168811,"score_spread":0.2024124426880353,"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."}}