{"id":"W3097403187","doi":"10.5539/jsd.v13n6p130","title":"Spatial and Non-Spatial Factors Influencing Willingness to Pay (WTP) for Urban Green Spaces (UGS): A Review","year":2020,"lang":"en","type":"review","venue":"Journal of Sustainable Development","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Teknologi Malaysia","keywords":"Business; Willingness to pay; Sustainability; Ecosystem services; Quality (philosophy); Provisioning; Socioeconomic status; Environmental resource management; Environmental economics; Environmental planning; Natural resource economics; Ecosystem; Economics; Geography; Computer science; Environmental health; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001220333,0.0006225476,0.002390459,0.0002058174,0.0003470973,0.0001145335,0.0005800994,0.000213936,0.0001394242],"category_scores_gemma":[0.0001966662,0.0004112902,0.0003355071,0.0005755267,0.00006598762,0.0003374005,0.0005015348,0.0005866958,0.00003363063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853462,"about_ca_system_score_gemma":0.001578368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001751341,"about_ca_topic_score_gemma":0.0004869524,"domain_scores_codex":[0.9962144,0.0001077288,0.001573152,0.0005141538,0.0007727799,0.0008177632],"domain_scores_gemma":[0.9972128,0.0001506165,0.00150938,0.0002215334,0.000154396,0.0007512357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004869094,0.00006338652,0.01898674,0.06891524,0.0002210572,0.000339124,0.004887948,0.000003720869,7.442717e-7,0.000006863895,0.01533711,0.8911894],"study_design_scores_gemma":[0.0002734383,0.0003615028,0.003226451,0.01560846,0.0004004032,0.00004400402,0.0007624608,0.000002852532,0.000002057502,0.00001335329,0.9787755,0.0005295432],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001035588,0.9917995,0.002688599,0.001041073,0.0002255931,0.003127834,0.00001083546,0.00001556737,0.000055455],"genre_scores_gemma":[0.0004421103,0.9941345,0.002838623,0.000630948,0.0003682233,0.0001094554,0.00001419455,0.00007715686,0.001384797],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9634384,"threshold_uncertainty_score":0.9998339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283106693369421,"score_gpt":0.2824584911976341,"score_spread":0.2596274242639399,"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."}}