{"id":"W4281680503","doi":"10.1029/2021gb007161","title":"Hydrologic Export of Soil Organic Carbon: Continental Variation and Implications","year":2022,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; National Science Foundation","keywords":"Environmental science; Arid; Soil carbon; Sink (geography); Carbon cycle; Hydrology (agriculture); Total organic carbon; Soil water; Soil organic matter; Carbon sink; Drainage basin; Soil science; Environmental chemistry; Climate change; Ecosystem; Ecology; Geology; Oceanography; Geography; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007704748,0.0001669513,0.0001565484,0.0008947311,0.0001697612,0.0006173521,0.0002506449,0.0001700651,0.001288796],"category_scores_gemma":[0.001144325,0.0001045739,0.0003138252,0.001222978,0.0004532734,0.0004447024,0.0004755233,0.0002053532,0.0001327874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002166837,"about_ca_system_score_gemma":0.0001173964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01006294,"about_ca_topic_score_gemma":0.008104096,"domain_scores_codex":[0.9998479,0.00004833113,0.000009573859,0.00006025568,0.00001565979,0.0000183108],"domain_scores_gemma":[0.9990152,0.0003456651,0.000239442,0.0001055543,0.0001877055,0.0001063533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007512182,0.00001187213,0.9884849,0.00001861077,0.0002647869,0.00005726768,0.0001028453,0.001385365,0.001256976,0.0002481448,0.0002650234,0.007829076],"study_design_scores_gemma":[0.000001588442,0.000005783202,0.9986235,0.000004687496,0.00001477077,0.00002061098,0.00006222422,0.0008032072,0.0001073415,0.0001059777,0.0002478251,0.000002469453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996464,0.0007409049,0.0003911211,0.0001919104,0.000007626201,0.000002744393,0.0007392773,0.00002016287,0.001442324],"genre_scores_gemma":[0.999345,0.0001630804,0.0000666254,0.0000168671,0.000008234521,7.746236e-7,0.0003216953,0.000005243653,0.00007240635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006294,"threshold_uncertainty_score":0.02000874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006166081023086674,"score_gpt":0.201746985849799,"score_spread":0.1955809048267124,"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."}}