{"id":"W3045059240","doi":"10.1002/ecy.3139","title":"Eco‐evolutionary dynamics of range expansion","year":2020,"lang":"en","type":"article","venue":"Ecology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Alberta; University of Lethbridge; Memorial University of Newfoundland; University of British Columbia","funders":"Division of Environmental Biology; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; U.S. Department of Agriculture","keywords":"Evolutionary dynamics; Trait; Ecology; Biological dispersal; Evolutionary ecology; Range (aeronautics); Context (archaeology); Evolutionary biology; Biology; Population; Computer science","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":[0.0007646588,0.0001213826,0.000194556,0.000831489,0.0003408611,0.001031196,0.0004051275,0.0004530922,0.001396482],"category_scores_gemma":[0.00338268,0.0001502537,0.0002259011,0.0006452783,0.001034499,0.001459056,0.0006227562,0.0006407297,0.0001440511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007150351,"about_ca_system_score_gemma":0.0001980361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009474836,"about_ca_topic_score_gemma":0.001151635,"domain_scores_codex":[0.9996785,0.0001321002,0.00001520099,0.00009255199,0.00005292932,0.00002868355],"domain_scores_gemma":[0.9985211,0.0009228769,0.0002659984,0.0001345644,0.0001040298,0.00005138695],"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":[0.0002079355,0.0001176,0.2184486,0.0003552219,0.0003295772,0.0006380221,0.003111647,0.1488114,0.06471787,0.4041221,0.001555523,0.1575845],"study_design_scores_gemma":[0.00002250616,0.0001280757,0.4467151,0.00008844477,0.00008355643,0.0009400708,0.001631952,0.2023066,0.005925151,0.3277645,0.01429096,0.000103117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450681,0.002067847,0.03664508,0.001283113,0.00001633671,0.00001540724,0.0001362339,0.00006755989,0.01470037],"genre_scores_gemma":[0.9954636,0.0004821897,0.003549874,0.00005238574,0.000006671313,0.00001190465,0.00003653335,0.00000995856,0.0003869245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001396482,"threshold_uncertainty_score":0.005187929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006561811736570977,"score_gpt":0.2230497788938526,"score_spread":0.2164879671572816,"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."}}