{"id":"W4220916732","doi":"10.3390/jrfm15030127","title":"Responses of the International Bond Markets to COVID-19 Containment Measures","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Đại học Kinh tế Thành phố Hồ Chí Minh","keywords":"Volatility (finance); Coronavirus disease 2019 (COVID-19); Bond; Government bond; Monetary economics; Pandemic; Business; Economics; Financial economics; Finance; Medicine; Infectious disease (medical specialty)","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":[0.002528587,0.000088769,0.0002507395,0.0003674407,0.0001949653,0.00002917867,0.0004262726,0.0000218095,0.0001403661],"category_scores_gemma":[0.001474194,0.00007946594,0.0001247014,0.0002197878,0.00003485345,0.00006964017,0.0004289123,0.000186622,0.000003419853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004594529,"about_ca_system_score_gemma":0.00009029364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001358097,"about_ca_topic_score_gemma":0.00002541549,"domain_scores_codex":[0.9988611,0.00005383685,0.0006096229,0.000148212,0.0001858912,0.000141336],"domain_scores_gemma":[0.9988288,0.0001447507,0.0007127213,0.0001731474,0.00003191839,0.0001086227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004428561,0.0004450899,0.6786337,0.0001108385,0.0002736459,0.0001281752,0.006661923,0.003966674,0.00006504398,0.1376582,0.1074035,0.06022458],"study_design_scores_gemma":[0.0008773152,0.0001191181,0.2645137,0.00001020233,0.00001674087,0.00001351084,0.0003149092,0.00002222147,0.00001480248,0.01274981,0.7212718,0.00007582409],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477931,0.002598347,0.02926728,0.01274833,0.002856503,0.0005785938,0.0004719558,0.00000869545,0.003677159],"genre_scores_gemma":[0.9944627,0.0007128133,0.0003690354,0.003790026,0.00008654914,0.00001071752,5.020628e-7,0.000007468018,0.0005602159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6138683,"threshold_uncertainty_score":0.3240527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933684939074425,"score_gpt":0.2541615923720137,"score_spread":0.2248247429812694,"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."}}