{"id":"W4317938046","doi":"10.1016/j.dajour.2023.100173","title":"The effect of the COVID-19 pandemic on multifractals of price returns and trading volume variations of cryptocurrencies","year":2023,"lang":"en","type":"article","venue":"Decision Analytics Journal","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Multifractal system; Cryptocurrency; Coronavirus disease 2019 (COVID-19); Volume (thermodynamics); Pandemic; Economics; Econometrics; 2019-20 coronavirus outbreak; Investment (military); Financial economics; Mathematics; Computer science; Fractal; Biology","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":[0.00305265,0.0000997514,0.000471492,0.0003521531,0.0003057524,0.00006107372,0.000317428,0.00005515428,0.0001561525],"category_scores_gemma":[0.003309661,0.00006086621,0.0003098729,0.0009246567,0.0001059147,0.00006776355,0.00008004993,0.0001855901,0.000008793263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006502989,"about_ca_system_score_gemma":0.00003573439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006872912,"about_ca_topic_score_gemma":0.00004682854,"domain_scores_codex":[0.9984453,0.00007881672,0.001039536,0.0001418388,0.0001500205,0.0001444665],"domain_scores_gemma":[0.9962655,0.001940519,0.00129511,0.000325594,0.00008616059,0.00008715943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001541282,0.0000533483,0.9451076,0.0001152693,0.0006483793,0.000003016642,0.001576219,0.009126834,0.0002820873,0.02803604,0.007339928,0.007557134],"study_design_scores_gemma":[0.002060881,0.0006587339,0.442176,0.0002116945,0.0002042172,0.00007891459,0.00091245,0.4523134,0.0001260379,0.04423364,0.05671367,0.000310337],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856049,0.0008521369,0.011699,0.0006680811,0.0003239762,0.0001653105,0.0001223264,0.000007253469,0.0005569591],"genre_scores_gemma":[0.998854,0.0006600881,0.00008263789,0.00002055226,0.00003488945,0.000001643825,0.00000123038,0.000007804757,0.0003371963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5029316,"threshold_uncertainty_score":0.3962212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06455219952923742,"score_gpt":0.2971570876526388,"score_spread":0.2326048881234014,"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."}}