{"id":"W4386100167","doi":"10.1038/s41586-023-06440-7","title":"Native diversity buffers against severity of non-native tree invasions","year":2023,"lang":"en","type":"article","venue":"Nature","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Concordia University; Lakehead University","funders":"Danmarks Grundforskningsfond; Natural Environment Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; National Research Foundation; Sight Research UK; Comisión Nacional Forestal; Villum Fonden; National Science Foundation","keywords":"Diversity (politics); Introduced species; Tree (set theory); Native american; Invasive species; Biology; Evolutionary biology; Ecology; Political science; Genealogy; History; Mathematics; Combinatorics; Law","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":[0.0007740987,0.0002291326,0.000195749,0.0005970892,0.0003233267,0.001118444,0.0002322267,0.0002803668,0.003786182],"category_scores_gemma":[0.004345209,0.0001134332,0.0001973735,0.0004916605,0.0004555655,0.0008498346,0.0007481217,0.00041498,0.0003274644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002341081,"about_ca_system_score_gemma":0.0002779276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002950627,"about_ca_topic_score_gemma":0.006546899,"domain_scores_codex":[0.9997332,0.00009388164,0.0000142563,0.00007719225,0.00002936702,0.00005214588],"domain_scores_gemma":[0.994746,0.001705538,0.001865473,0.000245077,0.0002760515,0.001161893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001382666,0.0000751687,0.9912595,0.00003235541,0.0001050776,0.00006445402,0.0004368399,0.0006013178,0.001733596,0.0003103432,0.0002161668,0.005026949],"study_design_scores_gemma":[0.000001967369,0.00005376267,0.9976259,0.00001112328,0.00002154618,0.00006552767,0.0004808806,0.0008761011,0.0001653528,0.0004195211,0.0002734262,0.000004854402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984025,0.0002356643,0.0002750674,0.000060358,0.00000731582,0.000002104249,0.0001080157,0.00000956998,0.0008994555],"genre_scores_gemma":[0.9995787,0.00006953834,0.0001013414,0.00001656291,0.00000682617,0.000001386025,0.00007733792,0.000002914869,0.0001453596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003786182,"threshold_uncertainty_score":0.01266605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339542319977662,"score_gpt":0.2472074352698352,"score_spread":0.2338120120700586,"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."}}