{"id":"W4221010122","doi":"10.1142/s0218127422500407","title":"Stability and Bifurcation in a Leslie–Gower Predator–Prey Model with Allee Effect","year":2022,"lang":"en","type":"article","venue":"International Journal of Bifurcation and Chaos","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Science Foundation of Fujian Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Allee effect; Mathematics; Bifurcation; Codimension; Bogdanov–Takens bifurcation; Attractor; Saddle-node bifurcation; Hopf bifurcation; Applied mathematics; Multiplicative function; Stability (learning theory); Degenerate energy levels; Pitchfork bifurcation; Bounded function; Cusp (singularity); Mathematical analysis; Statistical physics; Nonlinear system; Geometry; Physics; Population; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003555925,0.0004851956,0.0007493411,0.0006523081,0.0008730365,0.001146472,0.0007200639,0.001509666,0.001377229],"category_scores_gemma":[0.0008894849,0.0002825856,0.0007783789,0.0003039553,0.001067273,0.001000448,0.00127388,0.0006458554,0.0001463861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007739839,"about_ca_system_score_gemma":0.0005633759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008782391,"about_ca_topic_score_gemma":0.003807003,"domain_scores_codex":[0.9998461,0.00005260423,0.000008042477,0.0000330574,0.00002847154,0.00003168291],"domain_scores_gemma":[0.9997923,0.00006617378,0.00006712811,0.00001383858,0.0000233722,0.00003725852],"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":[0.0002450825,0.0001306461,0.0101607,0.0001890386,0.0002210785,0.002437194,0.0009195755,0.783869,0.0228549,0.1719115,0.0008788938,0.006182384],"study_design_scores_gemma":[0.00003360968,0.00005871501,0.001236349,0.00001401248,0.0000353086,0.0001537813,0.00013047,0.9745339,0.0003628627,0.02280816,0.0006085175,0.00002428072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8733487,0.0008247548,0.1060699,0.001298896,0.00006778036,0.00005045918,0.000095985,0.00009164694,0.01815188],"genre_scores_gemma":[0.9928482,0.0001953227,0.003010453,0.00005102999,0.00001406743,0.00003666646,0.00001992844,0.000006748121,0.003817635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008782391,"threshold_uncertainty_score":0.01746255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956381936639483,"score_gpt":0.2936236439951797,"score_spread":0.2740598246287849,"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."}}