{"id":"W2106458700","doi":"10.1016/j.jenvman.2014.09.002","title":"Abatement costs of soil conservation in China's Loess Plateau: Balancing income with conservation in an agricultural system","year":2014,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Shadow price; Marginal abatement cost; Agriculture; Soil conservation; Natural resource economics; Marginal cost; China; Environmental science; Economics; Agricultural pollution; Loess plateau; Revenue; Opportunity cost; Agricultural productivity; Geography; Soil science; Ecology; Greenhouse gas; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009207376,0.0002103975,0.0003157779,0.0002200797,0.00008752591,0.00003619044,0.0003128209,0.00005570529,0.0001112248],"category_scores_gemma":[0.000005178969,0.0001651288,0.00005814464,0.0002798758,0.0001285304,0.0004965235,0.00024614,0.0001510667,0.00001637031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013023,"about_ca_system_score_gemma":0.00000460611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008688095,"about_ca_topic_score_gemma":0.001301566,"domain_scores_codex":[0.997852,0.0001817751,0.0007497882,0.0002645222,0.0007024745,0.0002494328],"domain_scores_gemma":[0.999004,0.00003097991,0.0006543847,0.000211886,0.00000802115,0.00009071855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001515555,0.0003635517,0.9710425,0.00009926831,0.00003991025,0.00004337693,0.0006340534,0.02395063,0.001540089,0.00008047865,0.00005337024,0.002001222],"study_design_scores_gemma":[0.002174295,0.0003757436,0.9871614,0.0003077519,0.00005230878,0.00001310459,0.004617673,0.004529865,0.0002173141,0.00002092853,0.0003324423,0.0001971916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966058,0.0000198684,0.0003764369,0.0004032647,0.0001027175,0.0004697425,0.000004830594,0.000009271797,0.002008031],"genre_scores_gemma":[0.9989456,0.00004085024,0.0006760259,0.0001554268,0.00002225591,0.000008531518,0.00001612019,0.00001016952,0.0001250081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01942077,"threshold_uncertainty_score":0.6733757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003540337130994088,"score_gpt":0.1659366676098246,"score_spread":0.1623963304788305,"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."}}