{"id":"W119037682","doi":"","title":"Distribution of Benefits and Costs among Stakeholders of a Protected Area: An Empirical Study from China","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Livelihood; China; Natural resource economics; Distribution (mathematics); Business; Nature reserve; Compensation (psychology); Protected area; Public economics; Economics; Geography; Environmental resource management; Agriculture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275591,0.0002633337,0.0003728408,0.001833956,0.001750324,0.0008077571,0.0005466632,0.0004751008,0.001787265],"category_scores_gemma":[0.00417454,0.0002266011,0.00041149,0.002475927,0.001039755,0.001048631,0.0008581423,0.0005731045,0.0001353219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003548517,"about_ca_system_score_gemma":0.001680995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1583472,"about_ca_topic_score_gemma":0.1752576,"domain_scores_codex":[0.9992949,0.0001655023,0.00003587706,0.00009453835,0.0001777117,0.0002314191],"domain_scores_gemma":[0.9959494,0.001605643,0.0009166535,0.0002526377,0.0005372869,0.0007383528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009378978,0.0002048852,0.9871426,0.00001926642,0.00003973396,0.0004170327,0.004889424,0.0007689325,0.0003220544,0.0003995971,0.00020401,0.005498657],"study_design_scores_gemma":[0.00000722727,0.0000691809,0.9927482,0.000007082164,0.00001137648,0.00008545316,0.00450409,0.002080591,0.00007562,0.0001006658,0.0003017542,0.000008764944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997473,0.000009876687,0.00001935976,0.00001273348,1.612562e-7,0.000003977764,0.00002317108,3.411838e-7,0.0001831083],"genre_scores_gemma":[0.9996668,0.00002091538,0.0000430343,0.000006976904,7.129939e-7,0.000005909955,0.00008580663,5.138913e-7,0.0001693071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1583472,"threshold_uncertainty_score":0.3148511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.171424342363834,"score_gpt":0.3027189325462877,"score_spread":0.1312945901824537,"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."}}