{"id":"W4237531552","doi":"10.46427/gold2020.2393","title":"Integrative Molecular Biogeochemistry of Soil Organic Matter with Long-Term Litter Manipulation in Temperate Forests","year":2020,"lang":"en","type":"article","venue":"Goldschmidt Abstracts","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biogeochemistry; Temperate rainforest; Litter; Term (time); Temperate climate; Environmental science; Temperate forest; Soil organic matter; Organic matter; Ecology; Agroforestry; Soil science; Ecosystem; Soil water; 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":[0.000340492,0.0001577533,0.0002292062,0.0001761922,0.0002238123,0.000362629,0.0002636965,0.0002668969,0.0004762657],"category_scores_gemma":[0.0002647028,0.000134455,0.0001494819,0.0001449995,0.0003747799,0.0004850111,0.0004110164,0.0003447457,0.00008314803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003959697,"about_ca_system_score_gemma":0.000273538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003670025,"about_ca_topic_score_gemma":0.008443316,"domain_scores_codex":[0.9998537,0.00001508963,0.000006319027,0.00006742745,0.00002697027,0.0000304843],"domain_scores_gemma":[0.9997495,0.0000624905,0.00006941697,0.00004065594,0.00003628982,0.00004179404],"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":[0.0001957611,0.00003259609,0.008764151,0.00003087281,0.00002519073,0.00001579532,0.00006838924,0.0002017889,0.9852993,0.0001000171,0.00002885582,0.005237223],"study_design_scores_gemma":[0.00001893738,0.0001596475,0.8618919,0.00001128952,0.00007412666,0.0001156377,0.0002389367,0.004653712,0.1316954,0.0003510962,0.0007685768,0.000020655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980465,0.0003343746,0.00127358,0.00002231613,0.000004420168,0.000004437527,0.00007137288,0.00001360779,0.0002294063],"genre_scores_gemma":[0.9976718,0.000199341,0.001404978,0.0000403263,0.000005794593,0.00001643079,0.0001137318,0.00001753516,0.0005299036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003670025,"threshold_uncertainty_score":0.007297337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160794933799079,"score_gpt":0.2070667705589504,"score_spread":0.1954588212209596,"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."}}