{"id":"W2007793176","doi":"10.1016/j.tpb.2007.02.002","title":"Dispersal delays, predator–prey stability, and the paradox of enrichment","year":2007,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Biological dispersal; Metapopulation; Predation; Predator; Stability (learning theory); Functional response; Ecology; Term (time); Equilibrium point; Biology; Mathematics; Physics; Computer science; Population; Mathematical analysis","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030854,0.0001242292,0.0005234791,0.00003690649,0.00007130716,0.000001931833,0.00007721633,0.0002617493,0.001082328],"category_scores_gemma":[0.001754792,0.00006347321,0.00009666483,0.00007158155,0.00418515,0.00001759964,0.00008605261,0.0002165644,0.00001158682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001521333,"about_ca_system_score_gemma":0.000009732466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001747153,"about_ca_topic_score_gemma":0.000006315709,"domain_scores_codex":[0.9984839,0.0003452907,0.0005800915,0.0002291979,0.00007460999,0.0002869207],"domain_scores_gemma":[0.9966446,0.002827918,0.00009277749,0.0002459141,0.00004953762,0.0001393224],"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":[0.001835649,0.0001107647,0.05645733,0.00003652243,0.00004730869,0.000001086546,0.0001237162,7.194052e-7,0.0001562263,0.9404289,0.000006870052,0.0007949701],"study_design_scores_gemma":[0.001421876,0.0002931514,0.03284631,0.00001333748,0.000109715,0.00003168898,0.00004815549,0.007179424,0.0003805659,0.9575872,0.0000182625,0.00007027402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90315,0.0001801886,0.08359246,0.003715382,0.00007879334,0.0004013391,0.000005479632,0.00002801976,0.00884839],"genre_scores_gemma":[0.9984134,0.00003817746,0.00067014,0.0007640519,0.00005711213,0.000009978757,0.0000273615,0.000006291504,0.00001353077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09526341,"threshold_uncertainty_score":0.9998308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125763407494547,"score_gpt":0.3125525533979587,"score_spread":0.2912949193230133,"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."}}