{"id":"W4412869149","doi":"10.1016/j.worlddev.2025.107148","title":"Indicators shaping urban greenspace spatial performance in China: A systematic review of the literature","year":2025,"lang":"en","type":"article","venue":"World Development","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities","keywords":"China; Regional science; Economic geography; Geography; Environmental planning; Environmental science; Natural resource economics; Environmental resource management; Economics","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":[0.0005956403,0.0001328632,0.0003279278,0.0001432639,0.0001115105,0.00001109885,0.0003451768,0.00003291668,0.0001149582],"category_scores_gemma":[0.00003846303,0.00008605622,0.00004511592,0.001723228,0.00005445883,0.00007015088,0.0002382853,0.0002042406,0.00004187759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003539065,"about_ca_system_score_gemma":0.0001015447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001353156,"about_ca_topic_score_gemma":0.003875529,"domain_scores_codex":[0.9986771,0.00008566823,0.0004732691,0.0002075698,0.0003332468,0.0002231165],"domain_scores_gemma":[0.9994215,0.00002206043,0.0001968712,0.0003122858,0.000006026089,0.00004127989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003461925,0.00002814867,0.9175819,0.07769863,0.000009556229,0.000001337137,0.001714701,0.0000047101,0.000005763759,0.00005546406,0.002362084,0.0005342783],"study_design_scores_gemma":[0.0001129632,0.00000552109,0.82181,0.1751741,0.00001495313,9.574683e-7,0.00001944866,0.0000310262,0.0001048522,0.000006731141,0.002624236,0.00009522044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121159,0.04391186,0.0001569735,0.008754946,0.0006423363,0.005524899,0.000005172411,0.00007436988,0.02881357],"genre_scores_gemma":[0.9886503,0.0007928789,0.0004739868,0.001874856,0.000008247448,0.00008557428,0.000002474056,0.000007053134,0.008104683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09747544,"threshold_uncertainty_score":0.3509271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007054292132282878,"score_gpt":0.226607987772078,"score_spread":0.2195536956397952,"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."}}