{"id":"W4390916077","doi":"10.21203/rs.3.rs-3769632/v1","title":"A Predator-Prey model with Prey Refuse: under a stochastic and deterministic environment","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Predation; Hopf bifurcation; Attractor; Mathematics; Limit cycle; Lyapunov exponent; Functional response; Control theory (sociology); Predator; Applied mathematics; Stability (learning theory); Bifurcation; Chaotic; Statistical physics; Limit (mathematics); Ecology; Mathematical analysis; Computer science; Physics; Nonlinear system; Biology; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00175295,0.0003462698,0.0008045741,0.0002094839,0.0001606956,0.00004267892,0.0001837615,0.000715356,0.0004348623],"category_scores_gemma":[0.0007959325,0.0002236694,0.0001146346,0.00008202853,0.001374956,0.00002044951,0.001579123,0.002854204,0.0002438604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473518,"about_ca_system_score_gemma":0.0004160678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006683068,"about_ca_topic_score_gemma":0.000008708264,"domain_scores_codex":[0.9969643,0.0003418772,0.000418806,0.000963009,0.000562759,0.0007492029],"domain_scores_gemma":[0.9971874,0.001353933,0.00005489804,0.0007642644,0.0000980741,0.0005414441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002727767,0.001075667,0.0004063754,0.02105065,0.0009254362,0.0005383216,0.001358926,0.05032808,0.00005964768,0.9192531,0.001102616,0.001173416],"study_design_scores_gemma":[0.000402403,0.0006990561,0.0003965919,0.001756381,0.0002178481,0.00008815166,0.00006745507,0.4545276,0.000007655826,0.5416523,0.00001339125,0.0001711924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7814128,0.003109122,0.1929118,0.008795278,0.00009059081,0.004017428,0.0001951132,0.0002166386,0.009251176],"genre_scores_gemma":[0.9938478,0.000263787,0.001635605,0.0001804326,0.00009976554,0.0007203243,0.00005140504,0.0000586483,0.003142164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4041995,"threshold_uncertainty_score":0.9994463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0916580625137351,"score_gpt":0.3964557596502685,"score_spread":0.3047976971365334,"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."}}