{"id":"W3183401854","doi":"10.1016/j.envint.2021.106778","title":"Observed inequality in urban greenspace exposure in China","year":2021,"lang":"en","type":"article","venue":"Environment International","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":292,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; National Natural Science Foundation of China","keywords":"Inequality; Urbanization; Geography; China; Sustainable development; Population; Economic growth; Economics; Environmental health; Political science","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":[0.0005822565,0.0002309753,0.000245911,0.0009772088,0.0005546137,0.0004893711,0.0003285213,0.0001633134,0.001514736],"category_scores_gemma":[0.001077869,0.0001093327,0.0003108922,0.001907008,0.0004628258,0.0004019994,0.0007785336,0.0002586448,0.00008852019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239375,"about_ca_system_score_gemma":0.0009457601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07895676,"about_ca_topic_score_gemma":0.1168544,"domain_scores_codex":[0.9995819,0.00007298631,0.00003579164,0.0001081948,0.00008397461,0.0001172472],"domain_scores_gemma":[0.9993005,0.0001288046,0.0001651285,0.00009187181,0.0001889356,0.0001247626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000427372,0.00002027047,0.9889826,0.00002935266,0.00005846906,0.0001133472,0.001007711,0.001077251,0.0004627203,0.001191872,0.0006371795,0.006376472],"study_design_scores_gemma":[0.000001799131,0.000009863357,0.9971697,0.000006277136,0.00001022049,0.0000148004,0.0004351042,0.001501775,0.00008783405,0.0002699386,0.0004862614,0.000006434168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99774,0.00007710046,0.0003271435,0.0001118011,0.000003759023,0.000005947056,0.0006423611,0.000006579176,0.001085261],"genre_scores_gemma":[0.999467,0.00002080688,0.00005843252,0.00001009482,0.000001813787,0.000005191629,0.0003147931,0.000001007958,0.0001209763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07895676,"threshold_uncertainty_score":0.1569943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02845198205264719,"score_gpt":0.2484582444077013,"score_spread":0.2200062623550542,"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."}}