{"id":"W3134794208","doi":"10.1016/j.cnsns.2021.105809","title":"Dynamics of a three-species food chain model with fear effect","year":2021,"lang":"en","type":"article","venue":"Communications in Nonlinear Science and Numerical Simulation","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Predator; Food chain; Stability (learning theory); Chaotic; Predation; Apex predator; Mathematics; Dynamics (music); Functional response; Statistical physics; Applied mathematics; Computer science; Ecology; Econometrics; Biological system; Control theory (sociology); Mathematical optimization; Psychology; Biology; Physics; Artificial intelligence; Machine learning","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":[0.0007756004,0.00006681085,0.0002542439,0.00006561755,0.0001314382,0.000006309541,0.0001498844,0.00006524715,0.00001691972],"category_scores_gemma":[0.001291673,0.00004615163,0.00002478162,0.0005543967,0.001236568,0.00007443037,0.000154142,0.0001778732,0.000001636224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003692727,"about_ca_system_score_gemma":0.0001172821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003252328,"about_ca_topic_score_gemma":0.00003106542,"domain_scores_codex":[0.9992715,0.00006872927,0.0002197146,0.0001623981,0.0001398686,0.0001377791],"domain_scores_gemma":[0.9983523,0.0008651781,0.00005029143,0.0004665931,0.0001967749,0.00006887391],"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":[0.0002495369,0.0007055093,0.04548403,0.0001120131,0.00002767543,0.000002819197,0.0002891838,0.0641316,0.0004693186,0.877765,0.000001367806,0.01076193],"study_design_scores_gemma":[0.0003801354,0.0002962245,0.007266154,0.0000487444,0.0000197309,0.000006551958,0.00002869121,0.970702,0.0001484398,0.0210407,0.00001383033,0.00004882153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6088307,0.0001441987,0.3815465,0.005898057,0.000008763666,0.0002052135,0.000005045184,0.00001638869,0.003345127],"genre_scores_gemma":[0.9681219,0.00003756522,0.03161082,0.0001689261,0.00000514895,0.000009324189,0.000014057,0.00000350927,0.00002872517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9065704,"threshold_uncertainty_score":0.4556185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05258707425181679,"score_gpt":0.3427546928485671,"score_spread":0.2901676185967503,"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."}}