{"id":"W2948079851","doi":"10.1088/1748-9326/ab26f7","title":"Ecosystem service bundles in global hinterlands","year":2019,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Urbanization; Geography; Ecosystem services; Sustainability; Population; Globalization; Business; Urban ecosystem; Economic geography; Environmental planning; Environmental resource management; Ecosystem; Economic growth; Ecology; Political science; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003423385,0.0002430293,0.0002465979,0.003063606,0.0004706212,0.002007849,0.0002503574,0.0001958292,0.003726698],"category_scores_gemma":[0.001360753,0.000144701,0.0002167556,0.005660061,0.001178972,0.001938821,0.001992704,0.0003254061,0.0001957865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202299,"about_ca_system_score_gemma":0.000455488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983303,"about_ca_topic_score_gemma":0.04348705,"domain_scores_codex":[0.9997401,0.00005698079,0.00001830753,0.00006850998,0.00004311514,0.00007297615],"domain_scores_gemma":[0.9993461,0.0001167334,0.0001980702,0.00007280727,0.000171643,0.00009464522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002220624,0.00004866326,0.8921877,0.000349314,0.0001882415,0.0008133044,0.01677316,0.008329413,0.007026562,0.03353314,0.001266007,0.03926247],"study_design_scores_gemma":[0.000006454608,0.00002764343,0.9711094,0.00004406526,0.00002658975,0.0001780424,0.01345148,0.003109386,0.000356114,0.005266438,0.006407506,0.00001684809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931266,0.0001388558,0.0007414211,0.00006900323,0.000002944282,0.00001200434,0.000589959,0.00001683503,0.00530236],"genre_scores_gemma":[0.9991026,0.00003680276,0.0003830375,0.000007922941,0.000001157112,0.000006436313,0.0002623963,0.000003881684,0.0001958341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01983303,"threshold_uncertainty_score":0.03943515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425154408580494,"score_gpt":0.2595091574447397,"score_spread":0.2452576133589348,"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."}}