{"id":"W2145500170","doi":"10.1002/cjce.5450780131","title":"Nonlinear control of competitive mixed‐culture bioreactors via specific cell adhesion","year":2000,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Bioreactor; Control theory (sociology); Nonlinear system; Controller (irrigation); Sampling (signal processing); Population; Steady state (chemistry); Substrate (aquarium); Biological system; Computer science; Control (management); Chemistry; Physics; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001046768,0.0001571282,0.0002888084,0.00009371793,0.00002621283,0.00001869253,0.0002275483,0.0001019395,0.00007550148],"category_scores_gemma":[0.00002469138,0.0001238824,0.000108131,0.0001676553,0.00003938302,0.0001093644,0.000002453406,0.0003378121,0.000007399357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926774,"about_ca_system_score_gemma":0.00004184795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000787462,"about_ca_topic_score_gemma":0.00003060973,"domain_scores_codex":[0.9991301,0.00001299114,0.0003980688,0.00006782471,0.0001490511,0.0002419107],"domain_scores_gemma":[0.9993469,0.00006506519,0.00008272313,0.0001351422,0.0001072778,0.000262861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000013742,0.000005103993,0.00002192072,0.00003273955,0.00004131827,0.00001534672,0.0002109312,0.5663179,0.4322175,0.00005566312,0.00009270062,0.0009752166],"study_design_scores_gemma":[0.001766391,0.00008046901,0.00008893021,0.0002899545,0.00007201827,0.000152068,0.0000428839,0.2818795,0.6943516,0.0000420152,0.02083949,0.0003946725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919261,0.006593382,0.07002529,0.0001886787,0.001049923,0.0004320799,0.00009644602,0.0001063877,0.00224676],"genre_scores_gemma":[0.9978817,0.000023536,0.001742104,0.00001186354,0.0002814563,0.000001528052,0.000004300059,0.00003632938,0.00001714775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2844384,"threshold_uncertainty_score":0.5051779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002968205860498833,"score_gpt":0.1519804100599993,"score_spread":0.1490122041995005,"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."}}