{"id":"W2735255077","doi":"10.1007/s10884-017-9605-3","title":"Global Dynamics of a Time-Delayed Microorganism Flocculation Model with Saturated Functional Responses","year":2017,"lang":"en","type":"article","venue":"Journal of Dynamics and Differential Equations","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Mathematics; Microorganism; Ordinary differential equation; Flocculation; Bifurcation; Lyapunov function; Applied mathematics; Partial differential equation; Dynamics (music); Differential equation; Mathematical analysis; Nonlinear system; Environmental engineering; Bacteria; Physics; Biology","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":[0.0002653553,0.0001621333,0.0003861741,0.00009871567,0.0002673902,0.0000873059,0.000198716,0.0001220074,0.00004944525],"category_scores_gemma":[0.0008550588,0.0001171353,0.0001013428,0.00006925372,0.0002084141,0.0001774706,0.00007474783,0.0001533638,0.000001369668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214926,"about_ca_system_score_gemma":0.0001620304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001003622,"about_ca_topic_score_gemma":0.0002285863,"domain_scores_codex":[0.9987367,0.00006493744,0.0006344969,0.0001271827,0.0002921722,0.0001445068],"domain_scores_gemma":[0.9976955,0.0003306897,0.001143215,0.0002684271,0.0004664944,0.0000956665],"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":[0.001280933,0.0005364629,0.004786683,0.0001003699,0.0004973186,0.00001105726,0.0001441791,0.0009323169,0.005638581,0.9853331,0.0001452002,0.0005938071],"study_design_scores_gemma":[0.0009274124,0.0001922948,0.009791149,0.00006056661,0.0002489926,0.00007488844,0.00003372734,0.7542213,0.00005755925,0.234283,2.256651e-7,0.0001089281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5032489,0.00000641642,0.4959559,0.0003147655,0.00004988002,0.00007773569,0.0001344315,0.000006909293,0.0002049782],"genre_scores_gemma":[0.9832465,0.000006117394,0.01623395,0.000008629028,0.00004096948,0.000001720088,0.00004513202,0.00001433164,0.0004026585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7532889,"threshold_uncertainty_score":0.477664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785049365398119,"score_gpt":0.2891674099812752,"score_spread":0.261316916327294,"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."}}