{"id":"W4387460716","doi":"10.1080/02723638.2023.2258687","title":"How common is greening in gentrifying areas?","year":2023,"lang":"en","type":"article","venue":"Urban Geography","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Gentrification; Greening; Sustainability; Neighbourhood (mathematics); Geography; Sociology; Economic geography; Economic growth; Environmental planning; Political science; Economics; Ecology; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002672463,0.0001533204,0.0001816112,0.0003010478,0.0001640997,0.000066395,0.0002497695,0.00008350351,0.0004704422],"category_scores_gemma":[0.000007580379,0.0001522005,0.0001140993,0.001750426,0.0001078767,0.0002357104,0.0001662048,0.0002211378,0.0006809614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005319216,"about_ca_system_score_gemma":0.000005370523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003399203,"about_ca_topic_score_gemma":0.003199132,"domain_scores_codex":[0.9985046,0.00004276744,0.0001616579,0.0003636902,0.0003386495,0.0005886747],"domain_scores_gemma":[0.9994223,0.00004028639,0.00006656599,0.00031234,0.000003555189,0.0001549677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006042375,0.00001993491,0.9474503,0.000008812562,0.000005525401,0.00002965907,0.0006650119,0.00001811472,0.00008248662,0.00002137504,0.04798974,0.003702962],"study_design_scores_gemma":[0.0002776459,0.00004081076,0.9493129,0.00002184983,0.000006234465,0.000001913331,0.0002454537,0.0006121611,0.00004660963,0.0003886078,0.04886276,0.0001830327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929819,0.0002870005,0.00004210428,0.003066068,0.0001113177,0.000223333,0.00001028453,0.0001720784,0.003105963],"genre_scores_gemma":[0.9969633,0.0001050328,0.0002143429,0.0009736708,0.00006228028,0.00002197469,0.00001649992,0.00002104928,0.001621886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003981413,"threshold_uncertainty_score":0.8752608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936843656993035,"score_gpt":0.2381811144634121,"score_spread":0.2188126778934817,"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."}}