{"id":"W2790055213","doi":"10.1016/j.cosust.2017.12.011","title":"How can global conventions for biodiversity and ecosystem services guide local conservation actions?","year":2017,"lang":"en","type":"article","venue":"Current Opinion in Environmental Sustainability","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Future Earth","funders":"Universität Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Ecosystem services; Biodiversity; Empowerment; Environmental resource management; Diversity (politics); Business; Biodiversity conservation; Ecosystem; Environmental planning; Citizen science; Political science; Geography; Ecology; Environmental science","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":[0.02462951,0.0006840857,0.001054851,0.001829043,0.004220815,0.01250465,0.003248285,0.008131302,0.009036986],"category_scores_gemma":[0.03961141,0.0004074385,0.0005647399,0.002152953,0.02352323,0.01782507,0.006070737,0.01102788,0.001602904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007030545,"about_ca_system_score_gemma":0.01385785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02822489,"about_ca_topic_score_gemma":0.05648532,"domain_scores_codex":[0.9910399,0.004096184,0.0004412325,0.0008972894,0.002136853,0.001388533],"domain_scores_gemma":[0.9791236,0.007865842,0.00181196,0.00272312,0.006154412,0.002321067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001762979,0.00005289437,0.002454865,0.0002665553,0.00006480086,0.0001062653,0.008818985,0.0008825159,0.000419859,0.8335402,0.07156391,0.08181154],"study_design_scores_gemma":[0.0000129416,0.00002139481,0.004834048,0.0008554454,0.00004105938,0.00006380986,0.01720563,0.0006587017,0.0003540939,0.5979869,0.3778853,0.00008080066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01771898,0.009978955,0.02590712,0.7350292,0.008037685,0.00006021102,0.0001981893,0.0001898758,0.2028798],"genre_scores_gemma":[0.8005537,0.01137529,0.02455439,0.126709,0.002475795,0.0002978221,0.0003247735,0.0004573262,0.03325179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02822489,"threshold_uncertainty_score":0.1302548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02537697691988713,"score_gpt":0.2871755907932632,"score_spread":0.2617986138733761,"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."}}