{"id":"W2955366882","doi":"10.1016/j.tree.2019.05.012","title":"How Evolution Modifies the Variability of Range Expansion","year":2019,"lang":"en","type":"review","venue":"Trends in Ecology & Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Agriculture; National Science Foundation","keywords":"Range (aeronautics); Variance (accounting); Population; Variation (astronomy); Evolutionary biology; Econometrics; Biology; Mathematics; Economics","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":[0.0009143609,0.000275562,0.0009049608,0.00008684051,0.0001419299,0.00001601166,0.0003206391,0.0006456352,0.0001486895],"category_scores_gemma":[0.0001128773,0.00009026578,0.0004062881,0.0008463085,0.0002263066,0.0001468261,0.000105069,0.0004112165,0.00002857674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004282576,"about_ca_system_score_gemma":0.00003762173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002834172,"about_ca_topic_score_gemma":0.0008640622,"domain_scores_codex":[0.997658,0.0007695596,0.0004841102,0.0005992033,0.0001864263,0.0003027469],"domain_scores_gemma":[0.9989597,0.0002774101,0.0004403297,0.0002134019,0.00008072739,0.0000283978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002250039,0.0001854698,0.01319005,0.0003928878,0.00001841321,5.232508e-7,0.00002580585,0.000005065388,0.0002441781,0.0005882444,0.0001818403,0.985145],"study_design_scores_gemma":[0.0001404046,0.0004400507,0.87847,0.0004455213,0.0005023411,0.00002794385,0.0001469235,0.00003667332,0.000002751761,0.0005217114,0.1189404,0.0003253441],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08481387,0.9121488,0.00001393129,0.0004936237,0.001288733,0.0008018642,0.00006239396,0.00006577118,0.0003109963],"genre_scores_gemma":[0.5313817,0.4667885,0.00001086227,0.000002782822,0.000298652,0.0001086996,0.0002038304,0.000002356358,0.001202589],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9848197,"threshold_uncertainty_score":0.497973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07444199030909096,"score_gpt":0.3001199753105182,"score_spread":0.2256779850014272,"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."}}