{"id":"W3123266564","doi":"","title":"Monetary and Fiscal Stimuli, Ownership Structure, and China's Housing Market","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Beijing; China; Stimulus (psychology); Monetary economics; Quarter (Canadian coin); Business; Financial crisis; Economics; Financial system; Finance; Macroeconomics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00259873,0.00060955,0.001318108,0.001061104,0.0002804706,0.0004800431,0.0006421857,0.0009170838,0.000541518],"category_scores_gemma":[0.0003788003,0.0007517799,0.0001703947,0.0001270657,0.0006515109,0.0003021873,0.001755255,0.002160301,0.00001553715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005613642,"about_ca_system_score_gemma":0.0001299734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007698649,"about_ca_topic_score_gemma":0.000652998,"domain_scores_codex":[0.9955044,0.0001508552,0.001282669,0.001837717,0.00006485968,0.001159459],"domain_scores_gemma":[0.9976153,0.0003278033,0.0005196414,0.001102128,0.00002916047,0.0004059911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007601996,0.0002749269,0.5545916,0.001235233,0.0005388285,0.0001128052,0.002786485,0.002308755,0.00001600288,0.00848109,0.0006184738,0.4282756],"study_design_scores_gemma":[0.002485718,0.0002450968,0.615898,0.000391897,0.00003632331,0.00006624401,0.000411381,0.1014135,0.00004027033,0.2560029,0.02032371,0.002685037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7595283,0.001128614,0.000009625479,0.0002140665,0.0006231549,0.0005653671,0.0003046971,0.00004984446,0.2375764],"genre_scores_gemma":[0.9679019,0.02841994,0.001974102,0.00009573801,0.0003384461,0.00004645872,0.00007850568,0.0001524143,0.0009924545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4255906,"threshold_uncertainty_score":0.9994933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04750248235762196,"score_gpt":0.2635500171833619,"score_spread":0.21604753482574,"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."}}