{"id":"W4405316515","doi":"10.5206/mase/19417","title":"Analysis of a May-Holling-Tanner ratio-dependent predator-prey model with an alternative food source for the predator and a strong Allee effect for the prey","year":2024,"lang":"en","type":"article","venue":"Mathematics in Applied Sciences and Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Allee effect; Uniqueness; Mathematics; Ordinary differential equation; Applied mathematics; Equivalence (formal languages); Differentiable function; Predation; Apex predator; Food chain; Mathematical optimization; Differential equation; Ecology; Mathematical analysis; Population; Pure mathematics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001877922,0.0001357918,0.0003872486,0.00009052383,0.0001213654,0.00003994813,0.0001305622,0.00006614983,0.000005230441],"category_scores_gemma":[0.0001784364,0.00006163413,0.0000581979,0.0001792494,0.0002832065,0.0000416471,0.00004369183,0.0001267556,1.148703e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009601093,"about_ca_system_score_gemma":0.00001829441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001350923,"about_ca_topic_score_gemma":0.0000153928,"domain_scores_codex":[0.9991432,0.00001184192,0.0002631678,0.0002517825,0.000121658,0.0002082922],"domain_scores_gemma":[0.9964799,0.003246633,0.0000474083,0.0001530284,0.00001803026,0.00005495022],"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":[0.0000891709,0.00003801017,0.00007744539,0.000710604,0.0005048744,2.468654e-7,0.001982454,0.4379453,0.0001416781,0.5580527,0.000001824357,0.0004557145],"study_design_scores_gemma":[0.0003307313,0.0004472664,0.00003711737,0.0001082722,0.0007676848,0.000004201771,0.0004188854,0.9774126,0.0002847607,0.02011061,0.000003760677,0.00007414258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3012983,0.000256487,0.6973813,0.0001726802,0.00001486362,0.0007489868,0.0000122528,0.00001634262,0.00009881695],"genre_scores_gemma":[0.9826923,0.00003418991,0.0167422,0.00002469964,0.00002269431,0.0004391222,0.000002150211,0.00001074317,0.00003191731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.681394,"threshold_uncertainty_score":0.2513367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03192580507193966,"score_gpt":0.2936448082235558,"score_spread":0.2617190031516161,"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."}}