{"id":"W2351346080","doi":"","title":"An Empirical Study on the Effect of Chinese Monetary Policy on Real Estate Price","year":2006,"lang":"en","type":"article","venue":"Journal of Shijiazhuang of University of Economics","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Monetary policy; Economics; Capitalization rate; Monetary economics; Market liquidity; Quarter (Canadian coin); Real estate investment trust; Option fee; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.002128454,0.0001007089,0.0003071051,0.0001238744,0.00005976595,0.000005241398,0.000449284,0.0000615633,0.0001168717],"category_scores_gemma":[0.0001250403,0.00007689594,0.0001294798,0.0001387977,0.0001799733,0.0001964528,0.00006977156,0.0002043761,0.000005722738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001891079,"about_ca_system_score_gemma":0.00004655893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057503,"about_ca_topic_score_gemma":0.0003129024,"domain_scores_codex":[0.9988588,0.0004165192,0.0003332825,0.0001148132,0.0001772709,0.0000993132],"domain_scores_gemma":[0.9980778,0.0008521057,0.0007386951,0.0002556262,0.00002268532,0.00005311696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008463263,0.0004804731,0.8550833,0.000009271934,0.00006009335,0.000008963492,0.001912563,0.1380631,0.00109603,0.0001381665,0.0002567674,0.002044919],"study_design_scores_gemma":[0.001007142,0.004202233,0.9895231,0.00001218715,0.00004503056,0.00000457334,0.0007745572,0.002179345,0.00101598,0.001098021,0.00005985988,0.00007796523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988077,0.000001745551,0.0001113448,0.0003903709,0.00005220941,0.0001491548,0.000006161789,0.000002566595,0.01120947],"genre_scores_gemma":[0.9975562,0.00004345251,0.002276638,0.0000310386,0.00004188254,4.351108e-8,6.917852e-7,0.00000601945,0.0000440175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1358837,"threshold_uncertainty_score":0.3135726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146651779585044,"score_gpt":0.305165529732428,"score_spread":0.2836990119365775,"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."}}