{"id":"W2060610867","doi":"10.5539/ijef.v6n2p115","title":"Herding Behavior in China Housing Market","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herding; Quantile regression; Real estate; Herd behavior; China; Financial economics; Financial crisis; Economics; Real estate investment trust; Business; Econometrics; Finance; Geography; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008924132,0.0001558138,0.0002900286,0.001046844,0.0003931001,0.0004584942,0.0004541323,0.0002951374,0.001326356],"category_scores_gemma":[0.002107097,0.0001088406,0.0003068206,0.001249517,0.0002749898,0.0007006794,0.0003662094,0.0002447391,0.0001207129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031205,"about_ca_system_score_gemma":0.0004430805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05389708,"about_ca_topic_score_gemma":0.07572402,"domain_scores_codex":[0.9997221,0.00004944095,0.00002243473,0.00006799214,0.00005785317,0.00008024698],"domain_scores_gemma":[0.99884,0.0002258007,0.00051449,0.0001380275,0.0001749952,0.0001066102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000315561,0.00003002874,0.9860818,0.00001862353,0.00005744949,0.0001414685,0.0004515668,0.0014627,0.0002338387,0.0003474044,0.00145277,0.009690836],"study_design_scores_gemma":[0.000003911417,0.00003536669,0.9805533,0.000007754473,0.00002422465,0.00005602347,0.0005606658,0.01751776,0.0001595074,0.0002344085,0.0008390712,0.000008124455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987758,0.00009326104,0.0002702616,0.00006320688,0.000002908159,0.000006520646,0.0004502184,0.000006834453,0.0003311684],"genre_scores_gemma":[0.9988368,0.00005608472,0.0001546226,0.00001695159,0.000004437235,0.000006215841,0.0006371142,0.000001223958,0.0002865633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05389708,"threshold_uncertainty_score":0.1071667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614238783508937,"score_gpt":0.216666531673121,"score_spread":0.2005241438380317,"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."}}