{"id":"W2810573139","doi":"10.5751/es-10140-230245","title":"Feedback of telecoupling: the case of a payments for ecosystem services program","year":2018,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"College of Engineering, Michigan State University; National Natural Science Foundation of China; Michigan State University; National Science Foundation","keywords":"Ecosystem services; Payment; Payment for ecosystem services; Ecosystem; Chen; Zhàng; Ecology; Environmental resource management; Business; Geography; China; Economics; Biology; Finance; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003262058,0.00006382114,0.0001402977,0.000003431653,0.0002472903,0.0000086347,0.0001148477,0.00008570949,0.0001477014],"category_scores_gemma":[0.000002179595,0.00003807657,0.00006505426,0.00006160411,0.00008806805,0.00005787448,0.00008756181,0.00003114774,0.00001220989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001227509,"about_ca_system_score_gemma":0.000006211419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002264159,"about_ca_topic_score_gemma":0.008025087,"domain_scores_codex":[0.999489,0.00001991791,0.000170868,0.0001354297,0.00003695506,0.0001478328],"domain_scores_gemma":[0.9996289,0.0000818291,0.0001277815,0.0001180872,0.00001605901,0.00002733131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009313997,0.0005634156,0.9588111,0.001702623,0.0004130405,0.000009935575,0.02452525,0.0001136178,0.001085161,0.000194429,0.002613104,0.009875205],"study_design_scores_gemma":[0.005361328,0.004983914,0.6709765,0.0001857649,0.0005139847,0.0005328939,0.02849938,0.2124008,0.01336223,0.002723822,0.05966816,0.0007911553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989833,0.00003917459,0.000007143617,0.000099823,0.00009670325,0.0004036553,0.00001833789,0.00001030039,0.0003415477],"genre_scores_gemma":[0.9992355,0.00002607785,0.0004771913,0.0001327837,0.00004462233,0.00005271059,0.000002745089,0.000004214417,0.00002416549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2878346,"threshold_uncertainty_score":0.4478187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008713458883363046,"score_gpt":0.2454325467332081,"score_spread":0.236719087849845,"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."}}