{"id":"W1974259931","doi":"10.1006/tpbi.2002.1578","title":"Stabilizing Dispersal Delays in Predator–Prey Metapopulation Models","year":2002,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Woods Hole Oceanographic Institution; Andrew W. Mellon Foundation; National Science Foundation","keywords":"Biological dispersal; Metapopulation; Predation; Predator; Ecology; Biology; Population","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":[0.001184728,0.0005140469,0.0006548267,0.0008007995,0.0006240139,0.001237579,0.001328387,0.0009756233,0.001501688],"category_scores_gemma":[0.01265103,0.0003764035,0.0003723957,0.0004608962,0.001032951,0.001485738,0.0008412773,0.0007913833,0.0001843418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228321,"about_ca_system_score_gemma":0.000608211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002133047,"about_ca_topic_score_gemma":0.001549756,"domain_scores_codex":[0.999809,0.00007911838,0.00001002295,0.00003316774,0.00002759812,0.00004109214],"domain_scores_gemma":[0.9939324,0.003699653,0.001261599,0.0003285748,0.000365646,0.0004119817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002277795,0.00006301852,0.007121891,0.0001375405,0.0001166942,0.0006867192,0.0005060374,0.5980871,0.006680958,0.3738426,0.002786236,0.009743572],"study_design_scores_gemma":[0.00006693719,0.00006020129,0.001620012,0.00001779489,0.00005869506,0.0001620731,0.0001068225,0.7844814,0.0005562206,0.212206,0.0006396216,0.00002416763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8795577,0.0007652204,0.1118511,0.001460234,0.00008811022,0.0000196683,0.0001011737,0.0002279582,0.005928917],"genre_scores_gemma":[0.9969742,0.0001834134,0.00134532,0.00004072109,0.00002799692,0.00001039958,0.00001709197,0.00002438772,0.001376403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002133047,"threshold_uncertainty_score":0.008912086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05474665414112904,"score_gpt":0.3104973350155517,"score_spread":0.2557506808744226,"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."}}