{"id":"W3081081773","doi":"10.1111/evo.14085","title":"Negative density‐dependent dispersal emerges from the joint evolution of density‐ and body condition‐dependent dispersal strategies","year":2020,"lang":"en","type":"article","venue":"Evolution","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Aberdeen; European Society for Evolutionary Biology; Royal Society; Entomological Society of Canada","keywords":"Biological dispersal; Biology; Density dependence; Evolutionary biology; Ecology; Demography","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":[0.0006305889,0.0003271156,0.0004166454,0.0003908557,0.0003034834,0.0008756975,0.000487058,0.0008140086,0.0009277888],"category_scores_gemma":[0.002246011,0.00031682,0.0004198842,0.0002320145,0.0008419381,0.0008020691,0.0006641342,0.0005515842,0.0001837867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006039678,"about_ca_system_score_gemma":0.0003701176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001903812,"about_ca_topic_score_gemma":0.002386143,"domain_scores_codex":[0.9998339,0.00005805232,0.000009844232,0.00005196784,0.00002341342,0.00002272759],"domain_scores_gemma":[0.9993665,0.0002314325,0.0001852716,0.00006361125,0.0000559811,0.00009732135],"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":[0.000299927,0.0002414272,0.270073,0.000293084,0.000472852,0.001974503,0.001363463,0.4230543,0.138065,0.1236318,0.001417271,0.03911339],"study_design_scores_gemma":[0.0000524331,0.0001347732,0.08964413,0.00003245573,0.0001233481,0.001418614,0.0001762142,0.8710168,0.003121312,0.03279131,0.001407108,0.00008144499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704365,0.0000864338,0.02616697,0.0002033874,0.000006445732,0.000009861758,0.00004809775,0.00003926081,0.003003049],"genre_scores_gemma":[0.99549,0.00006526328,0.003741402,0.00003961318,0.000002569573,0.000009291014,0.00003187821,0.00001230706,0.0006076429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001903812,"threshold_uncertainty_score":0.004382133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037998877926433,"score_gpt":0.240815602678818,"score_spread":0.2304356138995537,"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."}}