{"id":"W4210990488","doi":"10.32920/ryerson.14657946","title":"Local Stability Analysis On Lotka-Volterra Predator-Prey Models With Prey Refuge And Harvesting","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Predation; Mathematics; Boundary (topology); Constant (computer programming); Stability (learning theory); Predator; Applied mathematics; Stability theory; Control theory (sociology); Mathematical analysis; Ecology; Nonlinear system; Physics; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004826077,0.0004580528,0.0006421632,0.0005685927,0.0004322479,0.0007982388,0.0008549828,0.000659306,0.001313532],"category_scores_gemma":[0.001199054,0.0002268592,0.00081241,0.0002913889,0.0009701368,0.0007882257,0.0009288498,0.00055002,0.0001849342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006917504,"about_ca_system_score_gemma":0.0004499468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074521,"about_ca_topic_score_gemma":0.001071785,"domain_scores_codex":[0.9998179,0.00007350669,0.000007253646,0.00003274537,0.00004308586,0.00002561593],"domain_scores_gemma":[0.9996474,0.0001393213,0.00009498939,0.00001978246,0.00006053241,0.00003801825],"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":[0.0000655278,0.00004056393,0.002285074,0.0001464243,0.0001061711,0.00052128,0.0003162681,0.6840215,0.01108813,0.2953692,0.0009573056,0.005082557],"study_design_scores_gemma":[0.00001049567,0.00002405491,0.0003813296,0.000009679573,0.00001862095,0.00007567037,0.00004760542,0.9611776,0.0002711814,0.03761293,0.0003585528,0.00001234719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3622642,0.001287154,0.6122758,0.001316178,0.00008238763,0.00004552521,0.0001483464,0.0001931793,0.02238718],"genre_scores_gemma":[0.9883453,0.0003066094,0.007559178,0.00006486635,0.00002270035,0.00004503448,0.00003370419,0.00001752607,0.003605113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002074521,"threshold_uncertainty_score":0.005019069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05902668520077156,"score_gpt":0.3035579737900552,"score_spread":0.2445312885892836,"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."}}