{"id":"W2995328894","doi":"10.1177/0042098019885330","title":"Urban green boosterism and city affordability: For whom is the ‘branded’ green city?","year":2019,"lang":"en","type":"article","venue":"Urban Studies","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Ministerio de Ciencia, Innovación y Universidades","keywords":"Greening; Rhetoric; Context (archaeology); Equity (law); Urban greening; Economic growth; Political science; Geography; Economics; Law","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":[0.0003232228,0.000232593,0.0003467073,0.00005356042,0.0002505025,0.00007698702,0.0001650659,0.00006163584,0.00002512361],"category_scores_gemma":[0.00003061429,0.0001642969,0.00009136724,0.0001127678,0.0001290464,0.0001292248,0.0001394335,0.0001280048,0.000006852692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000963712,"about_ca_system_score_gemma":0.00001991828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007145852,"about_ca_topic_score_gemma":0.00002795403,"domain_scores_codex":[0.9989707,0.00002600865,0.0002102613,0.0002723362,0.000157017,0.000363674],"domain_scores_gemma":[0.9991848,0.0002937872,0.00003718226,0.0003465785,0.00008648296,0.00005113335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001707457,0.0001018719,0.4157058,0.003113251,0.002539466,0.00001209697,0.04558751,0.00009471308,0.001095035,0.00286951,0.4889241,0.03978582],"study_design_scores_gemma":[0.003750845,0.0006261974,0.08382303,0.0002574639,0.0004107584,0.00001220899,0.01756024,0.008773037,0.002200164,0.02136621,0.859765,0.001454822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816269,0.01147299,0.001099631,0.001891859,0.0005770344,0.001378716,0.00003872102,0.0002817095,0.001632434],"genre_scores_gemma":[0.9892318,0.000145367,0.0002459754,0.0003280367,0.0002467321,0.0001334212,0.000002744096,0.0000336837,0.0096322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3708409,"threshold_uncertainty_score":0.6699831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762321778060203,"score_gpt":0.2619918761458412,"score_spread":0.2343686583652392,"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."}}