{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007855013,0.00005128461,0.00005405205,0.00003595085,0.0008236113,0.000009672544,0.0007212953,0.000005905633,0.00122379],"category_scores_gemma":[0.00001640541,0.00003658206,0.00001748677,0.0004585749,0.0007578274,0.0005615905,0.0007352888,0.00007028291,0.0000238687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198614,"about_ca_system_score_gemma":0.00002002219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001294785,"about_ca_topic_score_gemma":0.0002601321,"domain_scores_codex":[0.999131,0.00003847306,0.00009854126,0.0002270539,0.0003160995,0.0001887821],"domain_scores_gemma":[0.9996418,0.00003147965,0.00006687147,0.0002252719,0.000002081298,0.00003246072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007638294,0.000201217,0.0619264,0.00001034278,0.000004520255,0.00002464806,0.001761391,0.4876763,0.3557671,0.001572599,0.0004377933,0.09054133],"study_design_scores_gemma":[0.0003867006,0.001314394,0.8318152,0.000007843081,0.00001750311,0.00008767315,0.006717286,0.004083136,0.05246132,0.02081934,0.08190782,0.0003818161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945235,0.00008827406,0.00003808562,0.00009529982,0.0002818318,0.0001208439,0.000005344302,0.00001262472,0.004834246],"genre_scores_gemma":[0.9989319,0.00001730158,0.0006197536,0.0002294283,0.00000706619,0.00002771932,0.000001296301,0.000002474277,0.0001630826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7698888,"threshold_uncertainty_score":0.9996892,"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."}}