{"id":"W1556042350","doi":"10.1108/jrf-02-2015-0020","title":"The dynamics of risk premium: the case of the Taiwan real estate market","year":2015,"lang":"en","type":"article","venue":"The Journal of Risk Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Real estate; Volatility (finance); Real estate investment trust; Autoregressive conditional heteroskedasticity; Risk premium; Economics; Financial economics; Capitalization rate; Cost approach; Investment (military); Business; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00785779,0.0001676199,0.000450854,0.00006081781,0.0003986468,0.00005061985,0.001119659,0.0000800516,0.00001609803],"category_scores_gemma":[0.00109074,0.00008457288,0.0002557096,0.000273969,0.0004755206,0.0001723689,0.0001755004,0.0005919702,0.00001139817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156919,"about_ca_system_score_gemma":0.0001265644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002930417,"about_ca_topic_score_gemma":0.003218309,"domain_scores_codex":[0.9980392,0.0002780007,0.001199043,0.000129807,0.00007189592,0.0002820391],"domain_scores_gemma":[0.9941543,0.0008278348,0.003952271,0.0008441962,0.0001688329,0.00005253737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002596102,0.0004254737,0.5806502,0.00008311844,0.0006848337,0.00008428742,0.02785715,0.04000517,0.000005302849,0.06203214,0.04125149,0.2443248],"study_design_scores_gemma":[0.004867848,0.000770661,0.3011604,0.0002569121,0.0005904738,0.002372079,0.01770249,0.2798616,0.0001911002,0.2991631,0.09204894,0.001014463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739139,0.001044899,0.0004013626,0.001048122,0.0009503085,0.0001561841,0.0002557782,0.000004003934,0.02222543],"genre_scores_gemma":[0.9546841,0.04450491,0.0002399379,0.0000180785,0.0001325695,0.000001659702,4.809733e-7,0.00002415379,0.0003941414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2794898,"threshold_uncertainty_score":0.4429933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153162692989915,"score_gpt":0.2084071795217166,"score_spread":0.1930909102227251,"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."}}