{"id":"W3134572999","doi":"10.3389/fenvs.2021.582409","title":"Species Diversity Induces Idiosyncratic Effects on Litter Decomposition in a Degraded Meadow Steppe","year":2021,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Species evenness; Species richness; Litter; Monoculture; Nutrient; Grassland degradation; Ecology; Ecosystem; Plant litter; Nutrient cycle; Phragmites; Biology; Agronomy; Chemistry; Grassland; Wetland","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":[0.0002738809,0.0002624384,0.0002715598,0.0004327792,0.0002415269,0.0003651268,0.0001380362,0.0001830958,0.000284662],"category_scores_gemma":[0.0002847844,0.0002176627,0.0002694607,0.0001874629,0.0002631274,0.0001793266,0.0004766749,0.0002112326,0.00005400769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003633254,"about_ca_system_score_gemma":0.0002000539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002697599,"about_ca_topic_score_gemma":0.006635286,"domain_scores_codex":[0.9998366,0.0000391325,0.00001365433,0.00005488441,0.00002167972,0.00003397881],"domain_scores_gemma":[0.9996424,0.00006867577,0.0001104301,0.00002972114,0.00002737163,0.000121293],"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":[0.0008116262,0.00008891347,0.1353029,0.00005621828,0.0001276708,0.0001902626,0.0002173055,0.0003237815,0.8595703,0.00003222232,0.00002379733,0.003254985],"study_design_scores_gemma":[0.000005665036,0.0002183933,0.9886679,0.000001967939,0.00002586518,0.0001034548,0.0001164753,0.001181877,0.009562714,0.00003212588,0.00007642302,0.000007200943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998852,0.00002954223,0.00003484831,0.000001827386,2.838099e-7,9.224637e-7,0.0000134125,0.000001913153,0.00003212205],"genre_scores_gemma":[0.9997168,0.00002822413,0.0001286626,0.000008571935,9.218828e-7,0.000002899224,0.00005519254,0.000001474806,0.00005719238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002697599,"threshold_uncertainty_score":0.005363762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006453447442579978,"score_gpt":0.2053909803929645,"score_spread":0.1989375329503845,"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."}}