{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001153716,0.0001466785,0.0002173685,0.00001172058,0.0001489027,0.0000063179,0.00009565728,0.0001378438,0.000129612],"category_scores_gemma":[0.0004808213,0.0001217415,0.00005073518,0.0002411205,0.0002805178,0.00006006176,0.0002172645,0.0001155642,0.0003677223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653871,"about_ca_system_score_gemma":0.000007550948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001651043,"about_ca_topic_score_gemma":0.002095859,"domain_scores_codex":[0.9988625,0.0002366532,0.0001060604,0.0004387482,0.00006413784,0.0002918913],"domain_scores_gemma":[0.9995288,0.0001589234,0.00005437165,0.0001802815,0.00002655251,0.0000511033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008255453,0.0001226325,0.9844351,0.00001161376,0.00004848827,0.00004028962,0.000247342,0.00000110874,0.001183958,0.002755753,0.001027232,0.01004387],"study_design_scores_gemma":[0.0004533006,0.0002612551,0.9814575,0.000006636024,0.00001704565,0.0000201044,0.00004053248,0.00004609037,0.001292065,0.01458649,0.001674015,0.0001449268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869204,0.000242786,0.00009699913,0.002612415,0.0008358282,0.0002562456,0.0000295987,0.0000500686,0.008955649],"genre_scores_gemma":[0.9978186,0.00005915846,0.0002603595,0.001331116,0.0001152366,0.00008562784,0.00003548097,0.000004259979,0.0002901384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01183073,"threshold_uncertainty_score":0.4964476,"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."}}