{"id":"W4311583014","doi":"10.1007/s13280-022-01812-1","title":"An environmental justice perspective on ecosystem services","year":2022,"lang":"en","type":"article","venue":"AMBIO","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; University of Waterloo","funders":"CHIST-ERA; Agencia Nacional de Investigación y Desarrollo; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Leuphana Universität Lüneburg; Agenția Națională pentru Cercetare și Dezvoltare; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst; Robert Bosch Stiftung","keywords":"Perspective (graphical); Ecosystem services; Environmental justice; Environmental resource management; Economic Justice; Ecosystem; Environmental planning; Environmental science; Environmental ethics; Sociology; Political science; Ecology; Computer science; Biology; Philosophy; Law; Artificial intelligence","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":[0.002992139,0.0006457942,0.0004991588,0.00226243,0.004381047,0.007762012,0.0009321421,0.003891773,0.004824105],"category_scores_gemma":[0.004100928,0.0001648234,0.0006668599,0.001886115,0.03338605,0.008478385,0.006397229,0.006377766,0.000490211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005588616,"about_ca_system_score_gemma":0.004131464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006355417,"about_ca_topic_score_gemma":0.008525209,"domain_scores_codex":[0.9956262,0.001677216,0.0001456933,0.0005507614,0.001226637,0.0007733763],"domain_scores_gemma":[0.997755,0.001017624,0.0002530962,0.0002542443,0.0004419459,0.0002780699],"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":[0.00000142075,0.000004005714,0.00009817626,0.00001026231,0.000001744004,0.00001904154,0.0002872047,0.000131618,0.00003334076,0.9970188,0.0005146028,0.001879808],"study_design_scores_gemma":[0.000002066254,0.000008791497,0.0003917201,0.00009801533,0.000003985092,0.00006679865,0.0006992518,0.0002620708,0.00008901812,0.9417031,0.0566683,0.000006890188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02165692,0.01271352,0.05687355,0.1176856,0.0008097644,0.00004202703,0.0001661282,0.00004471003,0.7900078],"genre_scores_gemma":[0.9416375,0.007786109,0.007597823,0.01396979,0.001255768,0.00009290875,0.00006497078,0.00006996092,0.02752513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007762012,"threshold_uncertainty_score":0.04054844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005027321231586198,"score_gpt":0.2102458016598912,"score_spread":0.205218480428305,"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."}}