{"id":"W3179764290","doi":"10.1111/ele.13838","title":"Species loss due to nutrient addition increases with spatial scale in global grasslands","year":2021,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Species richness; Nutrient; Ecology; Herbivore; Range (aeronautics); Spatial ecology; Species diversity; Biology; Scale (ratio); Grassland; Environmental science; Geography","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":[0.0003734939,0.0001950358,0.000365585,0.0006027062,0.0001797351,0.000402072,0.0001840187,0.0002482329,0.0007621889],"category_scores_gemma":[0.0008083227,0.000181908,0.0002488676,0.0004633772,0.0006972097,0.0003576258,0.0006727182,0.0002423534,0.00007711183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877476,"about_ca_system_score_gemma":0.00009150979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804142,"about_ca_topic_score_gemma":0.003551717,"domain_scores_codex":[0.9997858,0.0000609952,0.00001794494,0.00006431137,0.00003794914,0.0000329143],"domain_scores_gemma":[0.9992008,0.0002021338,0.0003355965,0.0001250141,0.00006158015,0.00007502919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0013094,0.0001320454,0.7685366,0.0002489483,0.0005256544,0.0003572093,0.0004605576,0.003956376,0.2097656,0.0001635392,0.0001532703,0.01439087],"study_design_scores_gemma":[0.000004113229,0.00007240926,0.9982279,0.000001987109,0.00001437518,0.00006963398,0.00007188703,0.0003151813,0.001118706,0.00003806904,0.00006333736,0.000002451913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997243,0.00006090757,0.00007218337,0.000005601826,4.566654e-7,0.000001026601,0.00003725087,0.000003483993,0.00009478115],"genre_scores_gemma":[0.9997506,0.00003864525,0.00008848568,0.00001111146,0.00000100103,0.000002678312,0.00006472527,0.000001443287,0.00004136804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001804142,"threshold_uncertainty_score":0.003587246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003236091125304806,"score_gpt":0.1914154920301895,"score_spread":0.1881794009048847,"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."}}