{"id":"W3152552866","doi":"10.1016/j.ifacol.2020.12.677","title":"A control oriented pattern for plant design: the homogeneous population pattern","year":2020,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Homogeneous; Simple (philosophy); Controller (irrigation); Population; Control (management); Computer science; Control engineering; Control theory (sociology); Class (philosophy); Mathematical optimization; Engineering; Mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.001471275,0.0005514648,0.0006143528,0.0003461051,0.0005146977,0.001021159,0.001349691,0.001663927,0.002574419],"category_scores_gemma":[0.002841365,0.0002518443,0.0007030141,0.000400149,0.001961595,0.001214728,0.001216491,0.001619505,0.0004922689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005970931,"about_ca_system_score_gemma":0.0007710669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006354274,"about_ca_topic_score_gemma":0.000602992,"domain_scores_codex":[0.9989176,0.0004445698,0.00004006799,0.0002925816,0.0002353123,0.00006996303],"domain_scores_gemma":[0.9991372,0.0003098704,0.0001404268,0.0002256383,0.0001198746,0.00006703022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008294184,0.00009632054,0.001043377,0.0001628715,0.00004994833,0.0002286216,0.0002475931,0.1214837,0.01043203,0.8195789,0.001558153,0.04503546],"study_design_scores_gemma":[0.00008147006,0.0005423061,0.0006154556,0.000055201,0.00003067714,0.000239893,0.0001310116,0.4408975,0.004016817,0.5420302,0.01132964,0.00002984691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01042239,0.00010733,0.9817308,0.0008287928,0.00004426002,0.00005407421,0.00002958149,0.00004647284,0.006736291],"genre_scores_gemma":[0.5098546,0.0004945939,0.4791445,0.0007665068,0.0001500423,0.0005350513,0.00006778556,0.00006231498,0.008924588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002574419,"threshold_uncertainty_score":0.008612275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200456251242144,"score_gpt":0.2043480386597386,"score_spread":0.1843024135355242,"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."}}