{"id":"W4309412291","doi":"10.1007/s00267-022-01729-1","title":"Evaluation of the Impact of Policymakers’ Decisions in the Management Capacity of Protected Areas: Efficiency Evidence from Five Countries","year":2022,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Data envelopment analysis; Business; Tourism; Forest management; Nature Conservation; Environmental resource management; Protected area; Management by objectives; Environmental economics; Economics; Geography; Marketing; Forestry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002325259,0.0001264335,0.0002263145,0.0001421518,0.0001170618,0.000007867991,0.0005153552,0.00002366552,0.001152545],"category_scores_gemma":[0.0000266887,0.0001026677,0.000159609,0.0002093001,0.0001657771,0.0001170914,0.0004113118,0.00009937365,0.00002301137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009797749,"about_ca_system_score_gemma":0.000008286188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001517822,"about_ca_topic_score_gemma":0.00001805076,"domain_scores_codex":[0.9983515,0.0001937571,0.0006608639,0.0002867022,0.0003576745,0.0001495305],"domain_scores_gemma":[0.9987248,0.0000840725,0.0006190029,0.0005520561,0.000003686778,0.00001640737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008912339,0.001317083,0.7110572,0.000043284,0.0005425654,0.000001266155,0.009179695,0.2660747,0.0004018689,0.007087504,0.0002232808,0.003982431],"study_design_scores_gemma":[0.0007014268,0.0001129643,0.9820016,0.0000387303,0.00007370012,4.756617e-7,0.002965047,0.006651539,0.0001847176,0.007113583,0.00006085247,0.00009538013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953373,0.0005283148,0.0002254628,0.0001085911,0.00007073873,0.001552267,0.0003969203,0.000002419439,0.001778007],"genre_scores_gemma":[0.9990711,0.0003224376,0.0002028008,0.0000335964,0.0000062984,0.0002729348,0.00001969266,0.000008983428,0.00006221621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2709444,"threshold_uncertainty_score":0.9997605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09378979881563006,"score_gpt":0.249759111374685,"score_spread":0.1559693125590549,"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."}}