{"id":"W2903311640","doi":"10.1016/j.jtbi.2018.11.035","title":"The joint impacts of dispersal delay and dispersal patterns on the stability of predator-prey metacommunities","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Biological dispersal; Metacommunity; Predator; Metapopulation; Predation; Stability (learning theory); Ecology; Biology; Computer science; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002187783,0.0003147991,0.0005422346,0.0009458745,0.0004966517,0.00158725,0.000657774,0.001055087,0.002629661],"category_scores_gemma":[0.03293412,0.0003870429,0.0004148975,0.0005567651,0.001251774,0.001928402,0.001302599,0.0009156439,0.0002441062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006210568,"about_ca_system_score_gemma":0.0003753978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001640457,"about_ca_topic_score_gemma":0.001943802,"domain_scores_codex":[0.9994249,0.0001968642,0.00005145383,0.0001332078,0.00005074817,0.0001428098],"domain_scores_gemma":[0.9695705,0.02175541,0.004412536,0.001348634,0.001047348,0.001865529],"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":[0.002222834,0.0004475626,0.6493333,0.0002503658,0.001060735,0.002347116,0.0008137207,0.2265804,0.03353844,0.03894087,0.00152668,0.04293802],"study_design_scores_gemma":[0.0001565504,0.0007547832,0.5109149,0.00003652663,0.0005748328,0.001335139,0.001204568,0.4294735,0.003147234,0.0517501,0.0005181814,0.0001337736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970431,0.000110488,0.002103441,0.0001996176,0.000007336069,0.000002255998,0.00005691776,0.000009484774,0.0004672972],"genre_scores_gemma":[0.9996769,0.00003639741,0.0001092598,0.000007098311,0.0000056045,0.000001522711,0.00002068635,0.000003260178,0.0001392566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002629661,"threshold_uncertainty_score":0.01157027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0376889602485675,"score_gpt":0.3086364965759807,"score_spread":0.2709475363274132,"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."}}