{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004214976,0.0001662739,0.00025383,0.0005794245,0.0005332067,0.001403123,0.0002232156,0.0003459903,0.003809229],"category_scores_gemma":[0.001020796,0.000106077,0.0001972868,0.0007749437,0.0006350393,0.0005575277,0.0005443385,0.0003630039,0.0001882113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623611,"about_ca_system_score_gemma":0.001094179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04147805,"about_ca_topic_score_gemma":0.06905302,"domain_scores_codex":[0.9998664,0.00001818889,0.000008562203,0.00001899947,0.00002937945,0.00005857172],"domain_scores_gemma":[0.9991269,0.00008240371,0.0004253188,0.00003819544,0.00009078604,0.0002364248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002503509,0.0001803794,0.9592269,0.00006317805,0.00007466163,0.000520332,0.0007695066,0.002598737,0.002173955,0.01400718,0.003481825,0.0166531],"study_design_scores_gemma":[0.0000119464,0.00003165443,0.9951962,0.000006260329,0.00001124574,0.00001764199,0.0003926331,0.001567186,0.0002123593,0.001005919,0.001538727,0.000008331855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940253,0.0002068554,0.00007477729,0.0007619409,0.00001063157,0.000009030729,0.0001967716,0.000008452042,0.004706094],"genre_scores_gemma":[0.9992012,0.0001014532,0.00002021372,0.00005620945,0.00001024812,0.000002037771,0.00009894058,0.000001219167,0.0005084742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04147805,"threshold_uncertainty_score":0.08247322,"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."}}