{"id":"W2010536237","doi":"10.1109/cdc.2006.376699","title":"Dynamical optimization of a configuration of multi-fed interconnected bioreactors by optimum seeking","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Fédération Wallonie-Bruxelles","keywords":"Bioreactor; Control theory (sociology); Controller (irrigation); Substrate (aquarium); Range (aeronautics); Computer science; Control engineering; Engineering; Control (management); Chemistry","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":[0.0001984277,0.0003828589,0.00077482,0.0003016719,0.0000155519,0.00004166114,0.0002892291,0.0005889758,0.00005463396],"category_scores_gemma":[0.0000863749,0.0003970927,0.0001877906,0.000168512,0.00006901337,0.00009801613,0.00009766468,0.0003743617,0.000002350022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134678,"about_ca_system_score_gemma":0.000037381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130281,"about_ca_topic_score_gemma":0.0001184613,"domain_scores_codex":[0.9979222,0.00009197073,0.001137573,0.0003465093,0.0002672302,0.0002345524],"domain_scores_gemma":[0.9986932,0.0001306057,0.0004246914,0.00045779,0.0002400251,0.00005370108],"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":[0.00001442414,0.00006064545,0.0003335329,0.0004944548,0.0001537198,7.525333e-7,0.0001403005,0.7169282,0.2811924,0.00004488942,0.0002701198,0.0003666217],"study_design_scores_gemma":[0.000681765,0.00002959484,0.0001380595,0.00043851,0.00006787627,0.000001436385,0.00003713808,0.9911326,0.007112151,0.000007953448,0.00002696697,0.0003260099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0365968,0.0002390776,0.9587717,0.00001364118,0.0007038261,0.0006337495,0.0001360582,0.000470535,0.002434623],"genre_scores_gemma":[0.982398,0.00001484307,0.01626036,0.000003145883,0.00005416188,0.00003521665,0.001037271,0.00008989994,0.0001071118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9458012,"threshold_uncertainty_score":0.9998481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009990544731320695,"score_gpt":0.2189531832262514,"score_spread":0.2089626384949307,"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."}}