{"id":"W79114421","doi":"10.2139/ssrn.2139830","title":"How Renters Drive House Price Recovery","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"House price; Business; Economics; Monetary 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":[0.0004721552,0.00009425387,0.0002678181,0.0003189256,0.0003697734,0.002600336,0.0003690768,0.001025753,0.01952908],"category_scores_gemma":[0.005532118,0.0002677237,0.0002393256,0.0002550823,0.0006900471,0.001626709,0.0005883222,0.0007082249,0.002394501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006584774,"about_ca_system_score_gemma":0.0003550508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009164828,"about_ca_topic_score_gemma":0.01392948,"domain_scores_codex":[0.9997306,0.00006284864,0.00001123508,0.00005673057,0.00005797407,0.00008064538],"domain_scores_gemma":[0.9984282,0.0005990973,0.0004280159,0.0001128595,0.0002136414,0.0002181566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001702272,0.001255254,0.6613238,0.0002066133,0.0005307461,0.001692014,0.005143564,0.0183099,0.01084838,0.1511986,0.04797149,0.09981737],"study_design_scores_gemma":[0.0001605883,0.0003625225,0.8181299,0.00005232775,0.0001515621,0.0004314686,0.01214346,0.04595532,0.003482784,0.08803627,0.03099335,0.0001004796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965173,0.0002236055,0.001096029,0.002502099,0.00004188142,0.00001266315,0.0001922487,0.00003665885,0.03072176],"genre_scores_gemma":[0.994912,0.00006324212,0.0001101877,0.0001346315,0.00001690025,0.000001348653,0.00006189625,0.00001607209,0.004683825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01952908,"threshold_uncertainty_score":0.06533128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409064119081406,"score_gpt":0.1883556827079357,"score_spread":0.1742650415171217,"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."}}