{"id":"W2789086055","doi":"10.1016/j.scitotenv.2018.01.012","title":"Early stage litter decomposition across biomes","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":320,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Center for Northern Studies","funders":"Centro de Estudos Ambientais e Marinhos, Universidade de Aveiro; Fundación Charles Darwin; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; National Science Foundation; Ministerio de Economía y Competitividad; Horizon 2020 Framework Programme; Indian Space Research Organisation; Fundação para a Ciência e a Tecnologia; Biological Interactions Doctoral Programme; Secretaría de Educación Superior, Ciencia, Tecnología e Innovación","keywords":"Biome; Litter; Decomposition; Environmental science; Chemical process of decomposition; Terrestrial ecosystem; Ecosystem; Plant litter; Temperate climate; Ecology; Chemistry; Biology","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":[0.0008541478,0.0002866381,0.0005116262,0.001178528,0.0005967188,0.001041836,0.0004321027,0.0005730412,0.001433095],"category_scores_gemma":[0.001491372,0.0003214715,0.0006636246,0.0006258487,0.0004367132,0.0009993884,0.001071933,0.0003423491,0.0002524042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405174,"about_ca_system_score_gemma":0.000373416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006102338,"about_ca_topic_score_gemma":0.01450442,"domain_scores_codex":[0.9995347,0.00008116663,0.00004448209,0.0002072838,0.00003954267,0.00009281904],"domain_scores_gemma":[0.9987771,0.0002819334,0.0002306018,0.0002023603,0.0003273645,0.0001806886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001613255,0.000149255,0.6467862,0.0003061435,0.001205806,0.0001945176,0.001267912,0.0007689038,0.3223831,0.0004856638,0.000266344,0.02457282],"study_design_scores_gemma":[0.00000546361,0.00004457494,0.9982805,0.000005683569,0.00003563968,0.00005358597,0.0001789053,0.0002158211,0.0008555229,0.0001051901,0.0002154366,0.000003746792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982339,0.0005647095,0.0004052563,0.00002862812,0.000004238499,0.000006882322,0.0002067889,0.00001132425,0.0005382528],"genre_scores_gemma":[0.9987047,0.0001212863,0.0003654388,0.00004212359,0.000003932306,0.000008720834,0.0003098302,0.000007303831,0.0004366811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006102338,"threshold_uncertainty_score":0.0121336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125218734593311,"score_gpt":0.2296095159815902,"score_spread":0.2183573286356571,"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."}}