{"id":"W2895947955","doi":"10.5751/es-10181-230410","title":"Green without envy: how social capital alleviates tensions from a Payments for Ecosystem Services (PES) program in Indonesia","year":2018,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Agricultural Development and Management","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecosystem services; Payment; Social capital; Payment for ecosystem services; Business; Ecosystem; Natural capital; Capital (architecture); Ecology; Public economics; Environmental resource management; Natural resource economics; Economics; Finance; Sociology; Geography; Biology; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003637175,0.0002970766,0.0003170762,0.0005125295,0.007515498,0.004597631,0.001492576,0.001304663,0.008549511],"category_scores_gemma":[0.004976359,0.0001709393,0.0003111855,0.0006519199,0.003249509,0.002768651,0.009648171,0.002628423,0.0005536762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005508065,"about_ca_system_score_gemma":0.01079534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009421263,"about_ca_topic_score_gemma":0.03896083,"domain_scores_codex":[0.9974985,0.001234031,0.00004050169,0.0001417204,0.0002518065,0.0008333198],"domain_scores_gemma":[0.9966677,0.0006866739,0.0002890848,0.00009772056,0.0001533269,0.002105643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009228478,0.005311605,0.04791424,0.0008119617,0.0001551394,0.003357814,0.1156019,0.002472092,0.004626757,0.06720182,0.06456538,0.6870583],"study_design_scores_gemma":[0.0004709015,0.002574332,0.195651,0.002304789,0.0003890056,0.0008325714,0.37414,0.007727292,0.003662278,0.09327205,0.3187584,0.0002173668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8300841,0.001155884,0.002775447,0.05662549,0.0004793798,0.0002198735,0.00009354877,0.0001129338,0.1084534],"genre_scores_gemma":[0.9872862,0.0004466801,0.001957282,0.002767997,0.00004096253,0.00009665249,0.00003292147,0.00003734172,0.007334064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009421263,"threshold_uncertainty_score":0.03996402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368455403968352,"score_gpt":0.2197237467982507,"score_spread":0.2060391927585672,"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."}}