{"id":"W3003195143","doi":"10.1111/gcb.15023","title":"Nutrient availability controls the impact of mammalian herbivores on soil carbon and nitrogen pools in grasslands","year":2020,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Institute on the Environment, University of Minnesota; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Fonds Wetenschappelijk Onderzoek; Vlaamse regering; Nederlands Instituut voor Ecologie; Koninklijke Nederlandse Akademie van Wetenschappen; Deutsche Forschungsgemeinschaft; University of Minnesota; National Science Foundation","keywords":"Herbivore; Nutrient; Environmental science; Nitrogen; Soil carbon; Grassland; Ecology; Agronomy; Nutrient cycle; Ecosystem; Nitrogen cycle; Agroforestry; Biology; Soil water; Chemistry","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":[0.0002008545,0.0001568658,0.0003023372,0.000270122,0.0003426095,0.0005027048,0.0001866165,0.0002792802,0.0006292121],"category_scores_gemma":[0.0003143573,0.0001851472,0.0001781328,0.00016705,0.0003175406,0.0002820395,0.000352337,0.0001914687,0.00009895663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000358926,"about_ca_system_score_gemma":0.0002197871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006441459,"about_ca_topic_score_gemma":0.01221072,"domain_scores_codex":[0.99985,0.00003049291,0.00001342194,0.00005211583,0.0000217265,0.00003211872],"domain_scores_gemma":[0.9997029,0.00006638352,0.00008526643,0.00002026979,0.00003896551,0.00008630214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007887136,0.00007860632,0.1213845,0.0001011824,0.0001128347,0.00009629837,0.0001756054,0.0006922085,0.8727057,0.00008385686,0.00007709786,0.003703424],"study_design_scores_gemma":[0.000007748949,0.0001611491,0.9942796,0.000002965851,0.00001851138,0.0000610534,0.0001077406,0.001172718,0.003828251,0.0000710837,0.0002822752,0.00000684205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999521,0.0001189805,0.00008856649,0.000007935926,8.02956e-7,0.000002379534,0.00005342009,0.000003923282,0.0002028849],"genre_scores_gemma":[0.9994791,0.00006614372,0.0001876287,0.00001754992,0.000001616922,0.000005700431,0.0001105782,0.000002857432,0.0001287411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006441459,"threshold_uncertainty_score":0.01280791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023139204932454,"score_gpt":0.2588090454374745,"score_spread":0.2356698405050205,"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."}}