{"id":"W2099759006","doi":"10.1111/j.2007.0030-1299.16065.x","title":"Tree species richness affects litter production and decomposition rates in a tropical biodiversity experiment","year":2007,"lang":"en","type":"article","venue":"Oikos","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":229,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Smithsonian Tropical Research Institute; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Litter; Plant litter; Biology; Biodiversity; Monoculture; Species richness; Ecology; Species diversity; Agronomy; Ecosystem","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001010669,0.00005147914,0.00006074477,0.00002908598,0.0001041437,0.000006891126,0.00002818725,0.00003224562,0.0001434578],"category_scores_gemma":[0.00002069304,0.00004695345,0.00001030618,0.000076298,0.000126201,0.00009425686,0.0000554967,0.00004444143,0.00005322253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007277434,"about_ca_system_score_gemma":9.921899e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001438129,"about_ca_topic_score_gemma":0.001150194,"domain_scores_codex":[0.999602,0.00002484933,0.00005827008,0.0001490265,0.00005880284,0.0001070369],"domain_scores_gemma":[0.999875,0.00003662589,0.0000207757,0.00004382752,0.00000269288,0.00002106115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002794293,0.00006419343,0.9908192,0.000003338686,0.000003221211,0.000005792392,0.0006829377,0.00002027316,0.007371607,0.00007015506,0.0004397618,0.0004915491],"study_design_scores_gemma":[0.0001319062,0.00003532063,0.9871408,0.000004138622,0.000003722274,0.000002887517,0.0002855021,0.00008095973,0.01206611,0.00009089208,0.0001022913,0.00005544462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961818,0.0000296321,0.000219119,0.0007606628,0.00009876155,0.0001052966,5.297367e-7,0.00001172121,0.002592498],"genre_scores_gemma":[0.9992678,0.00001875611,0.0004032373,0.00007738125,0.00001775536,0.000008364701,0.000001468245,0.00000117455,0.0002040385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004694504,"threshold_uncertainty_score":0.1914706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009704123219992327,"score_gpt":0.2453832520655044,"score_spread":0.235679128845512,"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."}}