{"id":"W4300448233","doi":"10.3386/w16237","title":"Endogenous Gentrification and Housing Price Dynamics","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Gentrification; Dynamics (music); House price; Economics; Economic geography; Econometrics; Sociology; Economic growth","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":[0.0005403184,0.0002403418,0.0005076061,0.0004698925,0.0004950912,0.001824087,0.0007730931,0.0008171713,0.004252842],"category_scores_gemma":[0.003558462,0.0003860461,0.0004756268,0.0009311204,0.001226534,0.001514782,0.001223078,0.0011793,0.0004280022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002072666,"about_ca_system_score_gemma":0.0005549862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02677007,"about_ca_topic_score_gemma":0.03678066,"domain_scores_codex":[0.9996543,0.00008208067,0.00001265686,0.00009521497,0.00005328951,0.000102479],"domain_scores_gemma":[0.9990988,0.0002674206,0.0003687199,0.0001105054,0.00006319825,0.00009129922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003684976,0.0003167536,0.3100586,0.0001313132,0.0002924233,0.0009628575,0.001769483,0.2801965,0.005239878,0.3580653,0.004802079,0.03779621],"study_design_scores_gemma":[0.00008474445,0.0001443891,0.2423875,0.0000311104,0.00007054768,0.0003501106,0.001386862,0.5853509,0.001443295,0.1578442,0.01081148,0.00009476928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733069,0.0003060685,0.01759971,0.0007415742,0.00001841938,0.00002556531,0.0005733286,0.00007889741,0.007349466],"genre_scores_gemma":[0.9964579,0.0001234792,0.0008936769,0.00003728259,0.000007268611,0.000008039406,0.0001776113,0.000009076186,0.002285671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02677007,"threshold_uncertainty_score":0.05322856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3612636796880956,"score_gpt":0.4234148456034156,"score_spread":0.06215116591532005,"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."}}