{"id":"W2795319187","doi":"10.1002/ecy.2175","title":"Herbivory and eutrophication mediate grassland plant nutrient responses across a global climatic gradient","year":2018,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Guelph; King Saud University; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; Wake Forest University; National Science Foundation","keywords":"Eutrophication; Herbivore; Nutrient; Biomass (ecology); Grassland; Ecosystem; Ecology; Plant community; Environmental science; Nutrient cycle; Terrestrial ecosystem; Biology; Plant ecology; Agronomy; Ecological succession","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002105877,0.0001781339,0.000191909,0.0002684903,0.0002176119,0.0003063307,0.0001166135,0.0001692606,0.0005807747],"category_scores_gemma":[0.0003419019,0.0001237058,0.0001019758,0.0002166294,0.0003140503,0.0002409664,0.0004477279,0.0001372659,0.00006499965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001314227,"about_ca_system_score_gemma":0.0001297785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004341613,"about_ca_topic_score_gemma":0.008909876,"domain_scores_codex":[0.9999126,0.00003293376,0.000003783666,0.00002407354,0.00001101007,0.00001564305],"domain_scores_gemma":[0.9998006,0.00004841234,0.0000683625,0.00001667927,0.00003294339,0.00003301365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001628388,0.00004778876,0.9317913,0.00003469575,0.00009869609,0.00007725851,0.0004931272,0.0004996076,0.06093521,0.00008976669,0.00005507512,0.005714591],"study_design_scores_gemma":[7.054531e-7,0.00001364064,0.9994466,7.627659e-7,0.000004946984,0.00001088591,0.00008437567,0.0001714265,0.0002086648,0.00001916093,0.00003788976,9.773535e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996796,0.00003609291,0.00006865973,0.000005935828,3.037589e-7,0.000001210967,0.00002421731,0.000001924728,0.0001821342],"genre_scores_gemma":[0.9997618,0.00003635675,0.0001032532,0.000006687307,7.565374e-7,0.000001657226,0.00003558123,0.000001039373,0.00005290723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004341613,"threshold_uncertainty_score":0.00863266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009740854562520102,"score_gpt":0.265072726523739,"score_spread":0.2553318719612189,"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."}}