{"id":"W4382883092","doi":"10.1016/j.ufug.2023.128020","title":"Greening residential quarters in China: What are the roles of urban form, socioeconomic factors, and biophysical context?","year":2023,"lang":"en","type":"article","venue":"Urban forestry & urban greening","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Geography; Context (archaeology); Socioeconomic status; China; Quarter (Canadian coin); Socioeconomics; Land cover; Residential area; Population; Land use; Environmental protection; Agricultural economics; Ecology; Demography; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003180531,0.0002943623,0.0004150952,0.000103346,0.0002935375,0.0001808653,0.0004531019,0.0001377463,0.0001270099],"category_scores_gemma":[0.00001265575,0.0002100024,0.000146707,0.0002632535,0.0001468768,0.001194057,0.0003218741,0.0002671445,0.0001175788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008715982,"about_ca_system_score_gemma":0.00001248103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002576622,"about_ca_topic_score_gemma":0.01048264,"domain_scores_codex":[0.9981434,0.00008380361,0.0004798002,0.0004704025,0.0002797325,0.0005428771],"domain_scores_gemma":[0.9990568,0.0001511744,0.000307282,0.000354094,0.00000628597,0.0001243564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003971104,0.00001777937,0.9881364,0.0000454469,0.00003407532,0.00001517336,0.007777141,0.0001999662,0.0003316596,0.00005286908,0.00257414,0.0007756551],"study_design_scores_gemma":[0.0005897908,0.00009387713,0.9781972,0.0002342241,0.00003523645,0.000005008217,0.01028258,0.009076005,0.000433804,0.000328885,0.0004319393,0.0002914558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998661,0.0003652587,0.00001147481,0.0003434159,0.0001985447,0.0002488258,0.00001988537,0.00007480849,0.00007677188],"genre_scores_gemma":[0.9995292,0.00004260559,0.00001275653,0.000053836,0.0001797752,0.0000185867,0.00003231448,0.00003477075,0.00009614375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009939185,"threshold_uncertainty_score":0.856365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009156744361128804,"score_gpt":0.2027667865402769,"score_spread":0.1936100421791481,"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."}}