{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003584644,0.0001872304,0.0004729468,0.00005658017,0.0001379472,0.000003792106,0.00005550023,0.0003102736,0.0007359341],"category_scores_gemma":[0.0008696205,0.00009568449,0.0000590715,0.00006896741,0.002663887,0.00004633302,0.00006353753,0.0001591269,0.00005281241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003750855,"about_ca_system_score_gemma":0.00002004635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004572056,"about_ca_topic_score_gemma":0.00005491186,"domain_scores_codex":[0.9985079,0.0003472971,0.0003400779,0.0003898305,0.0000795578,0.0003353518],"domain_scores_gemma":[0.9982781,0.001101266,0.00008174811,0.0001940032,0.0001039114,0.0002409019],"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":[0.0008754152,0.00007128483,0.03874571,0.000008846198,0.00005016385,0.00001733453,0.00002662875,0.000008616866,0.0003596614,0.9546203,0.000003487241,0.00521253],"study_design_scores_gemma":[0.0008837683,0.0008272248,0.1297273,0.00005924906,0.0001029057,0.0003172397,0.000006824149,0.003853342,0.001053922,0.8630218,0.000002321399,0.0001441325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5838711,0.00001253605,0.4108304,0.003905233,0.00004175166,0.0002097555,0.00001293544,0.00004537202,0.001071002],"genre_scores_gemma":[0.9950369,0.00001003623,0.003926226,0.0008723606,0.00005103893,0.00001546193,0.00003698071,0.00001279643,0.00003817818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4111659,"threshold_uncertainty_score":0.9815203,"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."}}