{"id":"W2026026065","doi":"10.1016/s0040-5809(03)00067-4","title":"Dynamics and responses to mortality rates of competing predators undergoing predator–prey cycles","year":2003,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Zoo","funders":"Natural Sciences and Engineering Research Council of Canada; John Simon Guggenheim Memorial Foundation; National Center For Environmental Assessment; National Science Foundation","keywords":"Predator; Predation; Biology; Population; Limit cycle; Density dependence; Ecology; Functional response; Population density; Limit (mathematics); Mathematics; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007945229,0.0001900892,0.0002502975,0.0004272934,0.0002689599,0.0006340753,0.0003910269,0.0005954939,0.001608355],"category_scores_gemma":[0.00776228,0.0002846927,0.0003271748,0.0002036857,0.0004079824,0.0004252825,0.0003545347,0.0005238398,0.0001858587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004973107,"about_ca_system_score_gemma":0.0001798614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001920986,"about_ca_topic_score_gemma":0.001527607,"domain_scores_codex":[0.9998775,0.00004475149,0.000006574785,0.00002258989,0.00001627787,0.00003229535],"domain_scores_gemma":[0.9969404,0.001790128,0.0005480832,0.0001372157,0.0002829974,0.0003011828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003767312,0.0008757446,0.5231598,0.0002563945,0.0006880813,0.0009070831,0.002966465,0.1902766,0.204105,0.02456064,0.003428017,0.04500881],"study_design_scores_gemma":[0.0001108216,0.0005095799,0.5779265,0.0000238253,0.0001445344,0.0007451808,0.001350517,0.3924624,0.007677404,0.01838302,0.0005713134,0.00009492912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993156,0.00002223221,0.0002980672,0.00006642195,0.000002144302,0.000001802977,0.00002352763,0.000004395227,0.0002657679],"genre_scores_gemma":[0.9995781,0.00002691972,0.0001108845,0.0000172276,0.000002707457,0.000002859042,0.0000362708,0.00000318397,0.0002218454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001920986,"threshold_uncertainty_score":0.005380452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03766251277687187,"score_gpt":0.3553969823094819,"score_spread":0.31773446953261,"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."}}