{"id":"W3092092736","doi":"10.1038/s41467-020-19252-4","title":"General destabilizing effects of eutrophication on grassland productivity at multiple spatial scales","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; The Scarborough Hospital; University of Toronto","funders":"National Natural Science Foundation of China; European Commission; Agence Nationale de la Recherche; National Science Foundation","keywords":"Biodiversity; Ecology; Productivity; Grassland; Eutrophication; Plant community; Beta diversity; Spatial ecology; Alternative stable state; Spatial variability; Environmental science; Alpha diversity; Ecological stability; Biology; Species richness; Ecosystem; Nutrient","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":[],"consensus_categories":[],"category_scores_codex":[0.00009123062,0.00007807119,0.0001073848,0.00001581767,0.0003176505,0.000003898209,0.0003467807,0.0001053158,0.00001164244],"category_scores_gemma":[0.0006325497,0.00007185656,0.00003606704,0.0001600172,0.000294281,0.00006344129,0.0004031547,0.0003169898,0.00004017995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006732981,"about_ca_system_score_gemma":0.000004956049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003525693,"about_ca_topic_score_gemma":0.006366917,"domain_scores_codex":[0.9993448,0.000151781,0.000126716,0.0001784204,0.0001076592,0.00009057209],"domain_scores_gemma":[0.998876,0.000453569,0.0001012322,0.0005096082,0.00002118618,0.00003835491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003433447,0.0002079105,0.9415263,0.00002373327,0.00003190967,3.328078e-7,0.0005947687,0.001205988,0.05228293,0.001819013,0.0005350678,0.001737694],"study_design_scores_gemma":[0.000232826,0.00007413041,0.9824082,0.000005910842,0.00002082854,5.822043e-7,0.000009126808,0.008595623,0.006981185,0.0002393066,0.001350536,0.00008172374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890627,0.0006140106,0.0003071747,0.008084483,0.000068532,0.0002988344,0.000007455247,0.00003427805,0.00152254],"genre_scores_gemma":[0.9959158,0.0001467864,0.003580443,0.0002301053,0.00002378998,0.00004322692,0.00003329738,0.00000664748,0.00001995444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04530174,"threshold_uncertainty_score":0.3552889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353996794165191,"score_gpt":0.2563635473302952,"score_spread":0.2428235793886433,"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."}}