{"id":"W2099981113","doi":"10.5194/hess-18-1979-2014","title":"Attribution of climate change, vegetation restoration, and engineering measures to the reduction of suspended sediment in the Kejie catchment, southwest China","year":2014,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; International Development Research Centre","keywords":"Environmental science; Hydrology (agriculture); Watershed; Sediment; Sediment transport; Land use; Climate change; Land cover; Land use, land-use change and forestry; Sedimentation; Drainage basin; Sedimentary budget; Soil and Water Assessment Tool; Context (archaeology); Erosion; Vegetation (pathology); Streamflow; Geology; Ecology; Geography","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":[0.00121319,0.0003552044,0.000273847,0.00102709,0.0004839842,0.0005959981,0.0003744542,0.0003155584,0.0004569897],"category_scores_gemma":[0.001344745,0.0002875175,0.0006345432,0.001382227,0.0005558819,0.0003443809,0.0006275109,0.0002789925,0.00004949415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298826,"about_ca_system_score_gemma":0.0009914355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06005098,"about_ca_topic_score_gemma":0.07907623,"domain_scores_codex":[0.999605,0.0001005051,0.00003421518,0.0001102758,0.00004816237,0.0001019474],"domain_scores_gemma":[0.9989929,0.0002063376,0.0003192377,0.00009726827,0.0001582103,0.0002259554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003419688,0.00001770997,0.9963843,0.00001284292,0.00008826186,0.00009837995,0.0002211612,0.0007556197,0.0008956965,0.00003659163,0.00003765645,0.001417571],"study_design_scores_gemma":[0.000001122932,0.00000537674,0.9991749,0.000001053793,0.00001219629,0.0000067158,0.00007177148,0.0006589423,0.00003214258,0.000006797045,0.00002729711,0.000001600784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998468,0.0000254131,0.0000246242,0.00001439817,7.370571e-7,0.000001094377,0.00003942836,0.000001271786,0.00004623413],"genre_scores_gemma":[0.9997831,0.00002557125,0.00002673026,0.000006160015,0.000001405818,0.000002167208,0.0001023608,6.083318e-7,0.00005184145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06005098,"threshold_uncertainty_score":0.1194029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674888714625869,"score_gpt":0.2197025202386395,"score_spread":0.2029536330923808,"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."}}