{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009800505,0.00005379922,0.0000856257,0.000006908765,0.0007936926,0.00003125517,0.00005594159,0.00003752185,0.002129545],"category_scores_gemma":[0.00003833964,0.00002491147,0.00002639309,0.00009028902,0.000004388201,0.00008783297,0.000340999,0.00009954813,0.000048353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001692113,"about_ca_system_score_gemma":0.000005117323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003952081,"about_ca_topic_score_gemma":0.04604287,"domain_scores_codex":[0.9995708,0.00008982022,0.0000870191,0.00008426124,0.0000653273,0.0001027988],"domain_scores_gemma":[0.9992914,0.0005879514,0.00002188082,0.00002673261,0.00003822293,0.00003386144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002571733,0.00004988398,0.9644274,0.00001272079,0.000009870048,0.00001359315,0.001382967,0.00002525616,0.02926909,0.0002439481,0.002003115,0.002536498],"study_design_scores_gemma":[0.0003524357,0.0002481595,0.7127051,0.0004156178,0.00003736869,0.0003675358,0.03331956,0.001369241,0.01383657,0.0002429483,0.2364434,0.0006621199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975137,0.000501015,0.00000142896,0.0002547273,0.0002268546,0.0000347622,0.0002508863,0.00002264595,0.001194056],"genre_scores_gemma":[0.9989316,0.0003727741,0.00001265403,0.0001644873,0.0000971564,0.000001698296,0.0002092999,2.614831e-7,0.0002100822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2517223,"threshold_uncertainty_score":0.9987826,"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."}}