{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00128397,0.0002387096,0.000248924,0.0008924727,0.0003083584,0.0006677003,0.0002290575,0.0003259267,0.0009254157],"category_scores_gemma":[0.008381539,0.0001131111,0.0002899065,0.0004325453,0.0006549294,0.0007294401,0.0005293836,0.0005658447,0.00009856129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003703428,"about_ca_system_score_gemma":0.0002703433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003213029,"about_ca_topic_score_gemma":0.002113569,"domain_scores_codex":[0.9995764,0.0001096539,0.00002303858,0.00008941645,0.00008577875,0.0001157081],"domain_scores_gemma":[0.9958981,0.002021502,0.0009899376,0.0003312026,0.0003682548,0.0003910926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001060184,0.0002487423,0.8171587,0.00008703179,0.0002561373,0.001782976,0.0009313781,0.08817379,0.02901583,0.00590997,0.0009732363,0.05440203],"study_design_scores_gemma":[0.00001697921,0.0002617074,0.8282009,0.00002072847,0.00005277836,0.000337322,0.0007334682,0.164022,0.003709127,0.001871601,0.0007236875,0.00004984485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998113,0.00005320035,0.001337196,0.00004493946,0.000005349495,0.000004332298,0.00005786504,0.000009347559,0.0003747282],"genre_scores_gemma":[0.9996456,0.00001738461,0.0002188805,0.000004294223,0.000004238426,0.000001798981,0.00005886832,0.000002680018,0.00004612289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003213029,"threshold_uncertainty_score":0.0067904,"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."}}