{"id":"W2795990091","doi":"10.1177/0969776418763010","title":"State-led gentrification in previously ‘un-gentrifiable’ areas: Examples from Vancouver/Canada and Frankfurt/Germany","year":2018,"lang":"en","type":"article","venue":"European Urban and Regional Studies","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Gentrification; State (computer science); Disinvestment; Restructuring; Public housing; Political economy; Sociology; Neighbourhood (mathematics); Subsidized housing; Political science; Economics; Public administration; Economy; Economic growth; Law; Foreign direct investment","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003855453,0.0001383018,0.0001922217,0.00003179207,0.0005221295,0.00004596274,0.0001295008,0.00002337115,0.00002331196],"category_scores_gemma":[0.0001989279,0.0001182604,0.00001876956,0.0001390671,0.0004645087,0.0000992443,0.00005614119,0.00009217675,0.00001010608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008772019,"about_ca_system_score_gemma":0.0001012942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1774567,"about_ca_topic_score_gemma":0.6228617,"domain_scores_codex":[0.9986171,0.0002772022,0.0002102814,0.0003281719,0.0002889417,0.0002783111],"domain_scores_gemma":[0.9992985,0.0002624324,0.0001306441,0.0001114611,0.00009056083,0.0001063589],"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":[0.00008207597,0.00004719122,0.2925668,0.00002077331,0.0001524977,0.00006303764,0.04816101,0.000002486858,0.00004081122,0.0007922245,0.6541851,0.003886059],"study_design_scores_gemma":[0.0003706386,0.0000287437,0.3623419,0.00008661097,0.00001399471,4.874479e-7,0.00316284,0.000007569484,0.00001031796,0.0002689926,0.6335508,0.000157136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631024,0.0291348,0.00001097849,0.0007976465,0.000481358,0.0001705692,0.00003895626,0.00003330113,0.006229959],"genre_scores_gemma":[0.9838594,0.006423952,0.0001188606,0.0005411421,0.0005405132,0.000004749832,0.000009058589,0.00001409857,0.008488275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.445405,"threshold_uncertainty_score":0.8280206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02817706546030781,"score_gpt":0.2467476882837053,"score_spread":0.2185706228233975,"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."}}