{"id":"W4283740337","doi":"10.1016/j.jde.2022.06.022","title":"Predator-prey systems in open advective heterogeneous environments with Holling-Tanner interaction term","year":2022,"lang":"en","type":"article","venue":"Journal of Differential Equations","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Fundamental Research Funds for the Central Universities; Guangzhou Municipal Science and Technology Project; Sun Yat-sen University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Uniqueness; Mathematics; Predation; Term (time); Lyapunov function; Applied mathematics; Limiting; Functional response; Mathematical analysis; Advection; Predator; Nonlinear system; Ecology; Physics; Thermodynamics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004019051,0.00009398525,0.0003964523,0.0001165517,0.0001288322,0.00001595461,0.0001524223,0.00005512845,0.00091886],"category_scores_gemma":[0.0001814273,0.00006406786,0.00007653882,0.00007134148,0.00006875284,0.0001094242,0.000115085,0.0004488743,0.000007101668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489776,"about_ca_system_score_gemma":0.00005176699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001045111,"about_ca_topic_score_gemma":0.000007999986,"domain_scores_codex":[0.9987583,0.0002816506,0.0005025335,0.0001267137,0.0001840128,0.000146812],"domain_scores_gemma":[0.9991217,0.0003329548,0.0003006829,0.0001161676,0.00003017473,0.0000983483],"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":[0.02754816,0.02293779,0.0725933,0.0005353815,0.005295224,0.00156041,0.008787586,0.3287615,0.018416,0.5080323,0.0007046534,0.004827719],"study_design_scores_gemma":[0.02908265,0.02259871,0.105024,0.001532505,0.002836567,0.006119174,0.004223556,0.7368662,0.00214591,0.08714852,0.001193102,0.001229122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8638671,0.00007124623,0.1344195,0.0004233174,0.0002877249,0.0003755039,0.000009155255,0.000003759194,0.0005426917],"genre_scores_gemma":[0.9993626,0.00001138649,0.0001049886,0.00009987715,0.00006823498,0.0000606256,0.00001288845,0.000009197921,0.0002702307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4208837,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04066693171651755,"score_gpt":0.3129691320208753,"score_spread":0.2723022003043578,"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."}}