{"id":"W2951932242","doi":"10.1063/1.5096661","title":"Multistability driven by inhibitory kinetics in a discrete-time size-structured chemostat model","year":2019,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Multistability; Chemostat; Kinetics; Monotone polygon; Limiting; Chaotic; Biological system; Order (exchange); Mathematics; Control theory (sociology); Statistical physics; Nonlinear system; Biology; Physics; Computer science; Economics; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00146583,0.0001857167,0.0006699167,0.000129931,0.000104431,0.00001656417,0.0004171623,0.0001607162,0.0004938137],"category_scores_gemma":[0.0006414381,0.0001248467,0.0001476937,0.0002400846,0.001373597,0.000342632,0.000377808,0.0006029455,0.00003777179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001250224,"about_ca_system_score_gemma":0.000188862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.318221e-7,"about_ca_topic_score_gemma":0.000002171703,"domain_scores_codex":[0.998027,0.00008091193,0.0008064714,0.0003549431,0.0003226563,0.000408063],"domain_scores_gemma":[0.9984695,0.0003176885,0.0002619336,0.0003368438,0.0002248195,0.0003891602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005135717,0.005021785,0.02337734,0.0005596016,0.0001087313,0.0003002959,0.00828882,0.0119711,0.9336393,0.008079298,0.0007520528,0.002765894],"study_design_scores_gemma":[0.001454844,0.001756312,0.005220702,0.0002312342,0.00003077661,0.0003066291,0.0002923592,0.9592211,0.005047145,0.02624176,0.00001315594,0.0001840157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924331,0.00003380954,0.00408184,0.001942976,0.0001794335,0.0002343484,0.00001801331,0.00001091359,0.001065585],"genre_scores_gemma":[0.9845436,0.000007780863,0.01477121,0.0002779621,0.00008186178,0.000002093165,0.00000428607,0.00001196203,0.0002992342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9472499,"threshold_uncertainty_score":0.5406913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421127999982275,"score_gpt":0.3314742094662762,"score_spread":0.3172629294664535,"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."}}