{"id":"W2901910996","doi":"10.1111/tesg.12333","title":"The Evolving State of Gentrification","year":2018,"lang":"en","type":"article","venue":"Tijdschrift voor Economische en Sociale Geografie","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gentrification; State (computer science); Politics; Competition (biology); Sociology; Humanity; Political economy; Political science; Law; Economics","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":[0.004037972,0.000154958,0.0003873055,0.001651966,0.00425285,0.009110347,0.0008354647,0.001971216,0.006792762],"category_scores_gemma":[0.007091545,0.0002477185,0.0002118656,0.001678521,0.03399821,0.007325334,0.006054516,0.003219851,0.0004115708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02038434,"about_ca_system_score_gemma":0.004757927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03414046,"about_ca_topic_score_gemma":0.0305803,"domain_scores_codex":[0.9967011,0.001139762,0.00007634562,0.0007869788,0.0006782849,0.0006174322],"domain_scores_gemma":[0.9966292,0.001325022,0.0003508385,0.0005147582,0.0006717613,0.0005084923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001334969,0.000008484494,0.0007783576,0.00001811832,0.000004530656,0.00004372113,0.008737086,0.000222657,0.0001430508,0.9778927,0.002897318,0.009240682],"study_design_scores_gemma":[0.00001349448,0.00003660582,0.007103236,0.0002630795,0.00001002429,0.00009358559,0.01332195,0.001219087,0.0006775726,0.6877615,0.2894305,0.00006947214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4003792,0.01826975,0.01026956,0.1335494,0.0006063136,0.00002606037,0.0002792692,0.0001234508,0.436497],"genre_scores_gemma":[0.9927496,0.001015338,0.0004103178,0.000998841,0.00008132512,0.000007295066,0.00002899543,0.00002044877,0.004687855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03414046,"threshold_uncertainty_score":0.1478994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280004048426418,"score_gpt":0.272135213659747,"score_spread":0.2593351731754828,"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."}}