{"id":"W4401257483","doi":"10.1111/geb.13895","title":"No general support for functional diversity enhancing resilience across terrestrial plant communities","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Inter-American Institute for Global Change Research; Bundesministerium für Bildung und Forschung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; Grantová Agentura České Republiky; Technology Agency of the Czech Republic; Agence Nationale de la Recherche; Deutscher Akademischer Austauschdienst; National Science Foundation","keywords":"Ecology; Dominance (genetics); Context (archaeology); Ecosystem; Trait; Plant community; Biology; Species diversity; Disturbance (geology); Geography; Species richness","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":[0.0157246,0.001384634,0.002571566,0.003226788,0.0007442077,0.003360698,0.002145886,0.001503355,0.006737448],"category_scores_gemma":[0.01964355,0.0008006861,0.009739535,0.00267649,0.002562493,0.001861273,0.002730482,0.001663138,0.0003409547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008032604,"about_ca_system_score_gemma":0.001313811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00299658,"about_ca_topic_score_gemma":0.003560277,"domain_scores_codex":[0.9904273,0.003414854,0.001089806,0.003940383,0.0007362454,0.0003914015],"domain_scores_gemma":[0.9595192,0.02563533,0.005573336,0.006224043,0.001805665,0.001242413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.003112848,0.0001637115,0.3784292,0.0332421,0.4776119,0.0005407761,0.0009437097,0.003732096,0.01228064,0.003790994,0.002262707,0.08388924],"study_design_scores_gemma":[0.0005697025,0.001622364,0.7249293,0.006160801,0.2395882,0.0005153576,0.001282116,0.003288246,0.002778209,0.007931294,0.01117485,0.0001596469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4854982,0.4830315,0.01406789,0.00639975,0.0008824195,0.0001391874,0.004395648,0.0004076684,0.005177809],"genre_scores_gemma":[0.9870843,0.009166479,0.002011529,0.0007077462,0.0001625182,0.00004409645,0.0005514257,0.00005064499,0.0002212513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0157246,"threshold_uncertainty_score":0.08316064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133789356630799,"score_gpt":0.2408964228640458,"score_spread":0.2295585292977378,"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."}}