{"id":"W2320066715","doi":"10.1007/s40333-016-0042-7","title":"Contents of soil organic carbon and nitrogen in water-stable aggregates in abandoned agricultural lands in an arid ecosystem of Northwest China","year":2016,"lang":"en","type":"article","venue":"Journal of Arid Land","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Science and Technology Program of Gansu Province; Institute of Soil Science, Chinese Academy of Sciences; University of British Columbia; Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Arid; Total organic carbon; Environmental science; Ecosystem; Agriculture; Organic matter; Soil carbon; Agronomy; Soil water; Soil organic matter; Nitrogen; Rangeland; Agroforestry; Chemistry; Soil science; Environmental chemistry; Ecology; Biology","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":[0.000354553,0.00032875,0.0004773399,0.001695248,0.001002108,0.0007029344,0.0006008936,0.0003678834,0.000385575],"category_scores_gemma":[0.0003150859,0.000369509,0.0003552885,0.001649815,0.0008990553,0.0008144567,0.0005907746,0.0002155253,0.00007495465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735585,"about_ca_system_score_gemma":0.001129979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07344025,"about_ca_topic_score_gemma":0.1296097,"domain_scores_codex":[0.9997831,0.00001973571,0.00003108617,0.0000639905,0.0000455088,0.00005651435],"domain_scores_gemma":[0.9995957,0.00005330266,0.0001223269,0.00001842301,0.00008389965,0.0001263032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003063764,0.00009005189,0.9824144,0.00003980874,0.0001263669,0.0003643997,0.001054931,0.0004231077,0.01234546,0.00009219893,0.00004931933,0.002693538],"study_design_scores_gemma":[0.000004384187,0.00001605052,0.9984878,0.000001387891,0.000018775,0.00004967966,0.0005431568,0.0006198807,0.0001853354,0.00002990131,0.00003889114,0.000004699377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998891,0.00001659758,0.00001372934,0.000003444914,3.852045e-7,7.373977e-7,0.00003017148,8.045443e-7,0.00004507308],"genre_scores_gemma":[0.9997569,0.00002054195,0.00003202345,0.000003731571,0.000001407555,0.000002257328,0.00009166604,6.376312e-7,0.00009078856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07344025,"threshold_uncertainty_score":0.1460255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007996310214388893,"score_gpt":0.1859413426863443,"score_spread":0.1779450324719554,"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."}}