{"id":"W3091918227","doi":"10.5430/ijfr.v11n5p442","title":"Coronavirus Pandemic Impact on the Nexus Between Gold and Bitcoin Prices","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Null hypothesis; Safe haven; Unit root test; Granger causality; Unit root; Coronavirus disease 2019 (COVID-19); Econometrics; Economics; Pandemic; Gold standard (test); Nexus (standard); Statistics; Infectious disease (medical specialty); Financial economics; Mathematics; Medicine; Internal medicine; Disease; Computer science; Cointegration","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":[0.0004291778,0.000245124,0.0002681925,0.0005103454,0.0003294531,0.001606666,0.0001755481,0.0004284153,0.003313953],"category_scores_gemma":[0.00253306,0.00009922556,0.0003644554,0.0007280678,0.0004610056,0.001010171,0.0008377883,0.0008531485,0.0002362687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007993493,"about_ca_system_score_gemma":0.0006233164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007019868,"about_ca_topic_score_gemma":0.009052282,"domain_scores_codex":[0.9995053,0.0001279997,0.00003172235,0.00009326653,0.0001002307,0.0001415176],"domain_scores_gemma":[0.9982781,0.0005130488,0.0007952399,0.00004631942,0.0002169802,0.000150326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006020162,0.0001960632,0.965344,0.0001475429,0.0002118805,0.001630056,0.001160316,0.002258737,0.002285822,0.004610972,0.001753864,0.0197987],"study_design_scores_gemma":[0.000007689044,0.0001682519,0.9862075,0.00005484763,0.00007082908,0.0002707051,0.003435629,0.003826179,0.0008270586,0.001813041,0.003295216,0.00002308103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920666,0.0007770613,0.0002601661,0.0007464513,0.00003993525,0.00001137173,0.0004300948,0.000007116706,0.005661016],"genre_scores_gemma":[0.9985267,0.0002992412,0.00008469585,0.00006227328,0.00002289554,0.000004208065,0.0002138297,0.000003443128,0.0007827694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007019868,"threshold_uncertainty_score":0.01395804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2743448180116609,"score_gpt":0.4143926225429096,"score_spread":0.1400478045312487,"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."}}