{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005099412,0.00008175467,0.0001225922,0.00002088391,0.0000328016,0.000001631083,0.0001292878,0.0001543193,0.0001396421],"category_scores_gemma":[0.00007947537,0.00008687028,0.00006537674,0.00006680917,0.00008877912,0.000001310227,0.0001061979,0.00005736304,0.00003661685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001482783,"about_ca_system_score_gemma":0.00007217943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004496766,"about_ca_topic_score_gemma":0.0001359931,"domain_scores_codex":[0.9993713,0.00004760283,0.0001725815,0.0002067504,0.000056972,0.0001447752],"domain_scores_gemma":[0.9996383,0.000009030065,0.0000650717,0.000153334,0.00006033935,0.00007398965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009390973,0.0006168689,0.3997765,0.000213452,0.0002935544,0.0000266943,0.0004741224,0.01218622,0.4483491,0.01451726,0.1152517,0.007355438],"study_design_scores_gemma":[0.004366789,0.004211905,0.6870852,0.00001303231,0.00009343269,0.00009017411,0.0006123378,0.1899967,0.01254156,0.00192823,0.09811619,0.0009445156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850221,0.000363073,0.008185317,0.002922745,0.0002316021,0.0001400487,0.00005602008,0.00001792737,0.003061145],"genre_scores_gemma":[0.9962617,0.0001226178,0.001689575,0.001067995,0.0001250655,0.000006748788,0.0002600073,0.00001197468,0.0004542846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4358076,"threshold_uncertainty_score":0.3542467,"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."}}