{"id":"W2088732121","doi":"10.1016/s0967-0661(02)00213-7","title":"Designing plant experiments for real-time optimization systems","year":2003,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Profit (economics); Design of experiments; Offset (computer science); Mathematical optimization; Engineering; Time horizon; Computer science; Control theory (sociology); Mathematics; Economics; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004962515,0.000290466,0.0003585811,0.0001316189,0.00008463055,0.0001214071,0.0001193791,0.0001371262,0.000009435324],"category_scores_gemma":[0.001129843,0.0003340555,0.000062877,0.000165886,0.000006634384,0.0008211668,0.00000529947,0.0001260201,0.00002027052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224481,"about_ca_system_score_gemma":0.00002422917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005851013,"about_ca_topic_score_gemma":7.20231e-8,"domain_scores_codex":[0.9986042,0.0000723955,0.0004416014,0.0002599157,0.0001903114,0.0004316102],"domain_scores_gemma":[0.9985136,0.0007912277,0.0001262345,0.0002874505,0.0001612087,0.0001202189],"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":[0.00003850634,0.00001476623,0.000001815031,0.00007563945,0.0001470503,0.000004744941,0.00006651612,0.9766797,0.02126916,0.001476592,0.0001832145,0.0000422993],"study_design_scores_gemma":[0.001968689,0.00004349199,9.606923e-7,0.00006186279,0.00009417981,0.00004457719,0.00004922328,0.9821393,0.001108926,0.000002214028,0.0141494,0.0003372128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00003732478,0.001235978,0.9929067,0.00001558163,0.001044805,0.001164587,0.00002381517,0.0009922673,0.002578919],"genre_scores_gemma":[0.6271635,0.0001807079,0.3702408,0.00004033836,0.0003442043,0.001381187,0.00007104631,0.0003046395,0.000273534],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6271262,"threshold_uncertainty_score":0.9999111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008426266972137705,"score_gpt":0.2214184740056274,"score_spread":0.2129922070334897,"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."}}