{"id":"W2520953327","doi":"10.1007/s10884-016-9551-5","title":"Complete Global and Bifurcation Analysis of a Stoichiometric Predator–Prey Model","year":2016,"lang":"en","type":"article","venue":"Journal of Dynamics and Differential Equations","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Mathematics; Limit cycle; Bifurcation; Bistability; Biological applications of bifurcation theory; Bifurcation diagram; Saddle-node bifurcation; Parameter space; Boundary (topology); Transcritical bifurcation; Applied mathematics; Limit (mathematics); Type (biology); Ordinary differential equation; Functional response; Mathematical analysis; Nonlinear system; Differential equation; Predation; Physics; Predator; Geometry","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":[0.0002445537,0.00006723953,0.000438327,0.0002858912,0.00004205846,0.000004552491,0.0000372187,0.00008198871,0.00006222365],"category_scores_gemma":[0.0006547644,0.00003752674,0.000117113,0.0003033195,0.0001711829,0.00004933957,0.00002856721,0.00006229315,3.838859e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000285149,"about_ca_system_score_gemma":0.00003277669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002854166,"about_ca_topic_score_gemma":0.00002535148,"domain_scores_codex":[0.9992287,0.00004475769,0.0004385481,0.00008224777,0.0001032866,0.000102493],"domain_scores_gemma":[0.9989014,0.0004956053,0.0002393919,0.00007755161,0.0001479664,0.0001381326],"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":[0.0001118678,0.0001695964,0.01918424,0.000028044,0.0006965383,6.689843e-7,0.00002495652,0.0001856302,0.0004091751,0.9763076,0.000003646811,0.002878061],"study_design_scores_gemma":[0.0006175049,0.000178338,0.05563241,0.00003004425,0.001650185,0.00001009063,0.00001160639,0.825224,0.000003195183,0.1166068,4.335414e-7,0.000035294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4537649,0.00004399711,0.5452126,0.0007306551,0.00001657632,0.00003221715,0.00005334443,0.000001617922,0.0001440793],"genre_scores_gemma":[0.9985206,0.00009948306,0.001252492,0.00005347413,0.00001453763,0.000001151961,0.00001143857,0.000002285492,0.00004454334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8597007,"threshold_uncertainty_score":0.1530296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334489543855743,"score_gpt":0.3082865772317249,"score_spread":0.2748376228461505,"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."}}