{"id":"W3136676845","doi":"10.7554/elife.62813","title":"Diversity and asynchrony in soil microbial communities stabilizes ecosystem functioning","year":2021,"lang":"en","type":"article","venue":"eLife","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":258,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft","keywords":"Ecosystem; Biodiversity; Ecology; Asynchrony (computer programming); Soil biodiversity; Species richness; Species evenness; Biogeochemical cycle; Environmental science; Soil water; Ecosystem services; Soil biology; Soil microbiology; Biology; Ecosystem engineer; Soil ecology; Soil organic matter","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":[0.0005651666,0.0001561432,0.0002290212,0.0003202564,0.0002672516,0.0004905678,0.000230744,0.0003742813,0.0007167937],"category_scores_gemma":[0.001757626,0.0001946084,0.0001920058,0.0001475482,0.000548851,0.0005451792,0.0009133305,0.0004434536,0.0001014938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004756067,"about_ca_system_score_gemma":0.0003225718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000719547,"about_ca_topic_score_gemma":0.001604127,"domain_scores_codex":[0.9996175,0.00006834125,0.00002729733,0.0001352074,0.00007531919,0.00007631576],"domain_scores_gemma":[0.9986176,0.0002824731,0.0006074081,0.0002048473,0.00009116966,0.0001964588],"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":[0.0007578961,0.0001053592,0.1078685,0.00007377678,0.00009589621,0.0001704633,0.0003044452,0.004138782,0.8683338,0.001161241,0.00009563153,0.0168943],"study_design_scores_gemma":[0.0000456077,0.0007371739,0.9198472,0.00001963099,0.00006790311,0.0003212358,0.0004463355,0.0124414,0.06116121,0.003673531,0.001206887,0.00003197258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998234,0.0001352581,0.001280288,0.00002991482,0.00000308169,0.000002603717,0.0000263384,0.00001560222,0.000272881],"genre_scores_gemma":[0.9996338,0.00002228725,0.0002557413,0.000008579737,0.000002528584,0.000002385185,0.00001444739,0.000001810816,0.00005847115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000719547,"threshold_uncertainty_score":0.003450751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894331042078664,"score_gpt":0.188639955368368,"score_spread":0.1696966449475814,"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."}}