{"id":"W2796283072","doi":"10.1016/j.ecoser.2018.02.017","title":"The role of socio-economic factors in planning and managing urban ecosystem services","year":2018,"lang":"en","type":"article","venue":"Ecosystem Services","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":216,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ecosystem services; Operationalization; Business; Urban ecosystem; Environmental planning; Environmental resource management; Urban planning; Service (business); Ecosystem; Geography; Urbanization; Economic growth; Economics; Ecology; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.0007050754,0.0002983424,0.0004290884,0.00008316636,0.0004603397,0.0001836108,0.0007698809,0.0001298923,0.0002012791],"category_scores_gemma":[0.000001143282,0.0002047102,0.00006943475,0.0001751444,0.00002553602,0.0006552785,0.0004216824,0.0001058602,0.0003853955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001630825,"about_ca_system_score_gemma":0.00001064632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0058519,"about_ca_topic_score_gemma":0.1406104,"domain_scores_codex":[0.9978997,0.0001421907,0.0006769288,0.0005084345,0.0002468693,0.0005258638],"domain_scores_gemma":[0.9987817,0.0001666263,0.0004526632,0.0004600515,0.00001366244,0.0001252902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002501094,0.00001435449,0.9921269,0.0005636493,0.00004150974,0.000002450041,0.006165165,0.0003485484,0.0003059254,0.00008357362,0.00001279329,0.0003101361],"study_design_scores_gemma":[0.001471656,0.0003326868,0.6168058,0.002396103,0.0001072604,0.00003796055,0.08360157,0.2248264,0.007188842,0.001850003,0.06008366,0.001298073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909596,0.001459372,9.44611e-7,0.00007176985,0.0003746752,0.0003383257,0.00004509792,0.0000618593,0.006688347],"genre_scores_gemma":[0.999608,0.00006271533,0.00001769849,0.0000384767,0.0001853537,0.00002493478,0.000010683,0.00003115425,0.00002099987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3753211,"threshold_uncertainty_score":0.8846362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0045781752971417,"score_gpt":0.1963267388942301,"score_spread":0.1917485635970884,"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."}}