{"id":"W4293105199","doi":"10.1126/sciadv.abo5115","title":"Uncovering the genomic basis of an extraordinary plant invasion","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Faculty of Medicine and Health, University of Sydney; Uppsala Multidisciplinary Center for Advanced Computational Science; Fakultet for medisin og helsevitenskap, Norges Teknisk-Naturvitenskapelige Universitet; Science for Life Laboratory; Helse Midt-Norge; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse","keywords":"Ambrosia artemisiifolia; Biology; Herbarium; Ragweed; Introgression; Population; Invasive species; Biodiversity; Ecology; Evolutionary biology; Gene; Genetics; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001218645,0.0001530389,0.0001542683,0.0005532836,0.0002145188,0.0003624551,0.0001221635,0.0003026853,0.0008792619],"category_scores_gemma":[0.0002685194,0.0001006731,0.0002275952,0.0005316049,0.0002412132,0.0002609287,0.0003110909,0.0003536617,0.0001934071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370804,"about_ca_system_score_gemma":0.0001004662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006237488,"about_ca_topic_score_gemma":0.001821215,"domain_scores_codex":[0.999928,0.000005227583,0.000003827522,0.0000383849,0.00001081968,0.00001377405],"domain_scores_gemma":[0.9997305,0.00006780273,0.0001248904,0.00002390655,0.00001681402,0.00003600622],"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":[0.0002611205,0.00003656258,0.0901132,0.0001388849,0.0001256969,0.0005161092,0.0005117018,0.0004180967,0.8935212,0.0007613988,0.0001838629,0.0134122],"study_design_scores_gemma":[0.000008806295,0.00009183287,0.9823934,0.00002442699,0.0000868436,0.0005416936,0.0002509337,0.0007029728,0.01132729,0.0004119017,0.004147945,0.00001192175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974582,0.000431778,0.0006347295,0.00004083219,0.000005139723,0.0000033119,0.0009821877,0.00002038766,0.0004235989],"genre_scores_gemma":[0.9964092,0.0003182029,0.0007404355,0.00007705742,0.00001013419,0.000004858349,0.002022678,0.000009740789,0.0004075995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008792619,"threshold_uncertainty_score":0.00294143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009408964800405852,"score_gpt":0.2249987130270817,"score_spread":0.2155897482266758,"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."}}