{"id":"W3008893151","doi":"10.3390/jrfm13030040","title":"Safe-Haven Assets, Financial Crises, and Macroeconomic Variables: Evidence from the Last Two Decades (2000–2018)","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Safe haven; Portfolio; Economics; Currency; Equity (law); Asset allocation; SAFER; Haven; Financial economics; Monetary economics; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001317541,0.0002085426,0.0005307518,0.00009678314,0.000246167,0.0001979596,0.0003629156,0.00008543579,0.0001255005],"category_scores_gemma":[0.000617318,0.0001815476,0.000127678,0.0001780951,0.00009729565,0.0003476325,0.0002483937,0.0003794972,0.00001584588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008110063,"about_ca_system_score_gemma":0.00005545825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005119212,"about_ca_topic_score_gemma":0.0002221085,"domain_scores_codex":[0.9983159,0.00005574329,0.0009101676,0.0003781173,0.00007187806,0.0002682142],"domain_scores_gemma":[0.9984879,0.0002874886,0.0007993284,0.000222531,0.00003932808,0.0001633455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004058124,0.00007667638,0.8743413,0.00009162506,0.00009179772,0.00004492376,0.001558771,0.00009258551,0.000004943617,0.03070175,0.007897706,0.08469212],"study_design_scores_gemma":[0.001073439,0.0001483661,0.7434189,0.00009836871,0.00008003685,0.000005774001,0.000108929,0.004561875,0.00000214477,0.04633752,0.2039197,0.0002448721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.922512,0.01659338,0.05575011,0.002156844,0.000788108,0.0003433477,0.000457147,0.00001224369,0.001386827],"genre_scores_gemma":[0.9752131,0.01973244,0.003505468,0.0008297584,0.0006287994,0.000005593248,0.000003696524,0.00001633438,0.00006488431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.196022,"threshold_uncertainty_score":0.7403295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272335177799493,"score_gpt":0.2238239301331567,"score_spread":0.2011005783551618,"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."}}