{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001013663,0.0004752647,0.0006210622,0.00004358953,0.0004411868,0.0001238353,0.001652346,0.0004243319,0.0007800277],"category_scores_gemma":[0.0002579997,0.0001869211,0.0003047868,0.0004132515,0.0002659686,0.0001241751,0.001532287,0.0009104819,0.00001582595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001789594,"about_ca_system_score_gemma":0.00008954923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003285674,"about_ca_topic_score_gemma":0.00005384216,"domain_scores_codex":[0.9970649,0.0004849313,0.0005871544,0.0009259508,0.0004251541,0.0005118825],"domain_scores_gemma":[0.9980861,0.0004215015,0.0006113299,0.0005264738,0.0001791037,0.0001754965],"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":[0.0000883496,0.0001352925,0.006730154,0.00003615954,0.00006465046,0.00004285239,0.000004696255,0.0001127034,0.9923287,0.0002766999,0.0001264049,0.00005331334],"study_design_scores_gemma":[0.0002143947,0.000621505,0.7838794,0.0000899122,0.00008280553,8.704771e-8,0.00004779957,0.00005970773,0.2038948,0.00002753174,0.01037096,0.0007111038],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951448,0.001317588,0.000004813643,0.0008268809,0.0006154153,0.0006337545,0.001241297,0.0001877035,0.00002768125],"genre_scores_gemma":[0.9981668,0.000365661,0.0003833377,0.0004210678,0.0004924549,0.0001543449,0.000004113643,0.00000818847,0.000004036055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.788434,"threshold_uncertainty_score":0.8540756,"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."}}