{"id":"W2288202446","doi":"10.1016/j.tpb.2016.01.001","title":"Spatially heterogeneous populations with mixed negative and positive local density dependence","year":2016,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"European Social Fund; European Research Council; Hungarian Scientific Research Fund; European Commission","keywords":"Allee effect; Biological dispersal; Density dependence; Extinction (optical mineralogy); Population density; Population; Spatial heterogeneity; Ecology; Habitat; Local extinction; Statistical physics; Ecosystem; Steady state (chemistry); Extinction probability; Biology; Population size; Physics; Demography; Chemistry","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":[0.00198931,0.0004705772,0.0007785084,0.00124637,0.0004832151,0.001691664,0.001260716,0.001058711,0.001666317],"category_scores_gemma":[0.008536085,0.0005614196,0.0004937628,0.0007643881,0.002035413,0.001642801,0.001592633,0.0007908944,0.000300046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004648848,"about_ca_system_score_gemma":0.0002262046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000753904,"about_ca_topic_score_gemma":0.001140751,"domain_scores_codex":[0.9986382,0.0005646566,0.00007002855,0.0003464294,0.0002057118,0.0001749943],"domain_scores_gemma":[0.994429,0.003240882,0.001109948,0.0005385149,0.0003845527,0.000297115],"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":[0.00069301,0.0004122948,0.1883608,0.000320137,0.0007528552,0.004114105,0.00207119,0.1084473,0.02621417,0.6281725,0.002227675,0.0382139],"study_design_scores_gemma":[0.0002625975,0.0003337282,0.09102751,0.00007851345,0.0004673225,0.008089825,0.00135927,0.4094939,0.003081394,0.4834432,0.002209581,0.0001531052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161052,0.0003948366,0.07690903,0.0005840186,0.00002092272,0.00003797955,0.0001304598,0.00005394782,0.005763584],"genre_scores_gemma":[0.9968245,0.0000826282,0.001712952,0.00007553485,0.0000224418,0.00002026779,0.00004585109,0.000004114102,0.001211748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00198931,"threshold_uncertainty_score":0.01052058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020694930767792,"score_gpt":0.2880728948138286,"score_spread":0.2673779640460366,"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."}}