{"id":"W3135018621","doi":"10.1111/gcb.15583","title":"Fertilized graminoids intensify negative drought effects on grassland productivity","year":2021,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Analyses et Expérimentations pour les Ecosystèmes; Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa; Vlaamse regering; Centre National de la Recherche Scientifique; Fonds Wetenschappelijk Onderzoek; Institute on the Environment, University of Minnesota; Bundesministerium für Bildung und Forschung; Servicestelle für Mobilitätsprogramme des österreichischen Bundesministeriums für Bildung, Wissenschaft und Forschung, KulturKontakt Austria; Academy of Finland; Agence Nationale de la Recherche; National Science Foundation","keywords":"Forb; Graminoid; Grassland; Productivity; Biomass (ecology); Dominance (genetics); Ecosystem; Environmental science; Plant community; Climate change; Nutrient; Agronomy; Ecology; Biology; 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":[0.0002744542,0.0003577714,0.0003441541,0.0002786001,0.0002510487,0.0003032638,0.0001813852,0.0002271674,0.0007966692],"category_scores_gemma":[0.0002848556,0.0001390971,0.0001921723,0.0001239504,0.0003360017,0.0001932664,0.0003837925,0.0002837402,0.00006918646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003620636,"about_ca_system_score_gemma":0.000181287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002609609,"about_ca_topic_score_gemma":0.008422398,"domain_scores_codex":[0.9998079,0.00005352218,0.00001763729,0.00005656153,0.00002840577,0.00003603566],"domain_scores_gemma":[0.9996699,0.00006711516,0.0001016495,0.00003489768,0.00002752581,0.00009891782],"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":[0.0009145438,0.0001447921,0.0205854,0.00008677032,0.0001056753,0.00007316751,0.00006488864,0.0003061116,0.9726644,0.00004794783,0.00003382081,0.004972533],"study_design_scores_gemma":[0.00006216444,0.001863217,0.9479381,0.000007827554,0.0001019296,0.0001276668,0.0001239272,0.001153199,0.04739159,0.0001705252,0.001044125,0.00001572861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996783,0.00006826698,0.00008312881,0.000006407822,0.000002326039,0.000003293978,0.00003142439,0.000005274007,0.0001215578],"genre_scores_gemma":[0.9989274,0.00009792885,0.0005001164,0.00005407846,0.000004708692,0.000009651158,0.0001325748,0.00000421586,0.0002692313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002609609,"threshold_uncertainty_score":0.005188823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244413475929154,"score_gpt":0.275566970319878,"score_spread":0.2531228355605865,"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."}}