{"id":"W1968626767","doi":"10.1016/j.still.2014.09.009","title":"Long-term effect of sediment laden Yellow River irrigation water on soil organic carbon stocks in Ningxia, China","year":2014,"lang":"en","type":"article","venue":"Soil and Tillage Research","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; University of Toronto","keywords":"Environmental science; Irrigation; Soil water; Soil carbon; Sediment; Tillage; Siltation; Total organic carbon; Hydrology (agriculture); Leaching model; Agronomy; Soil science; Soil fertility; Geology; Environmental chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001347741,0.0001331936,0.0002105413,0.0000563657,0.0001051779,0.00003414633,0.0001549769,0.0001299467,0.00007234952],"category_scores_gemma":[0.00005186474,0.00004804642,0.00005251018,0.0002477337,0.0001533231,0.0000354591,0.0001263214,0.0002627371,0.00002042232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004776242,"about_ca_system_score_gemma":0.000006299001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335271,"about_ca_topic_score_gemma":0.002128404,"domain_scores_codex":[0.9982475,0.0004291188,0.0001493508,0.0002962592,0.0004803709,0.0003973869],"domain_scores_gemma":[0.9994707,0.0002600984,0.00002995752,0.00008249153,0.00005376659,0.0001029976],"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":[0.0003698577,0.0001514523,0.4165854,0.0001303169,0.00003222875,0.00002619554,0.001187331,0.00003580946,0.5066386,0.00006616658,0.00004249504,0.07473408],"study_design_scores_gemma":[0.0007376875,0.00208892,0.7761397,0.0000861315,0.00001025863,0.000004201051,0.00006155862,0.005224335,0.2149206,0.0004850249,0.00003626886,0.0002053056],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963714,0.00006060177,1.532497e-7,0.0003499581,0.00004946186,0.0002112766,0.000002867327,0.00001925421,0.002935019],"genre_scores_gemma":[0.9992996,0.00003841705,7.721957e-7,0.0000190282,0.0001196027,0.00001504116,0.00002916256,0.000002480795,0.0004758665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3595542,"threshold_uncertainty_score":0.201854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522909632705029,"score_gpt":0.2617569211638879,"score_spread":0.2465278248368376,"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."}}