{"id":"W4210431719","doi":"10.1101/2022.02.03.478494","title":"Uncovering the hologenomic basis of an extraordinary plant invasion","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Science for Life Laboratory; Norges Forskningsråd; Helse Midt-Norge; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; Monash University; Faculty of Medicine and Health, University of Sydney; Uppsala Multidisciplinary Center for Advanced Computational Science; Norges Teknisk-Naturvitenskapelige Universitet; Natural Sciences and Engineering Research Council of Canada; NERC Environmental Bioinformatics Centre","keywords":"Ambrosia artemisiifolia; Biology; Invasive species; Introgression; Herbarium; Range (aeronautics); Biodiversity; Weed; Population; Ecology; Ragweed; Gene; Genetics","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":[0.0002774555,0.0001287337,0.0001879558,0.0002738948,0.0003678639,0.0006381822,0.0001585432,0.000485355,0.002333059],"category_scores_gemma":[0.0004403846,0.00009638848,0.0001983426,0.0002116288,0.0005034803,0.0005634269,0.0004799048,0.0006525329,0.0004281662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001815934,"about_ca_system_score_gemma":0.0001631674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002679249,"about_ca_topic_score_gemma":0.0006331212,"domain_scores_codex":[0.9999192,0.000007129383,0.000004141021,0.00003612891,0.00002078325,0.00001264878],"domain_scores_gemma":[0.9997093,0.00008537015,0.00009255979,0.00004345975,0.00001752606,0.00005176323],"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":[0.0003174608,0.00004907468,0.02560874,0.0002503342,0.00007569405,0.001808335,0.0006837687,0.0004790222,0.9383723,0.007246149,0.003877676,0.02123144],"study_design_scores_gemma":[0.00006849047,0.0004315203,0.5984349,0.0001596545,0.0002170286,0.006566115,0.002369589,0.00484698,0.2512296,0.03073606,0.1048096,0.0001304577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811322,0.001768229,0.00680604,0.002709712,0.0002663394,0.00001103557,0.00198033,0.0002695756,0.00505657],"genre_scores_gemma":[0.9889482,0.0009358535,0.003762991,0.0008134527,0.000174332,0.00001137012,0.001805438,0.00007419604,0.003474139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002333059,"threshold_uncertainty_score":0.007804811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674368697305988,"score_gpt":0.2027030408144485,"score_spread":0.1759593538413886,"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."}}