{"id":"W3173926795","doi":"10.3390/jrfm14070293","title":"A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Volatility (finance); Economics; Herding; Autoregressive conditional heteroskedasticity; Digital currency; Financial services; Financial economics; Econometrics; Monetary economics; Finance; Currency; Computer science","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":[0.001333397,0.0005929854,0.0008856154,0.004426596,0.0002545536,0.001749321,0.0004807037,0.0006830071,0.002147322],"category_scores_gemma":[0.004459268,0.0003608557,0.0006338406,0.006941583,0.0003828827,0.002182613,0.0004560619,0.0005803074,0.0004164717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000546768,"about_ca_system_score_gemma":0.0005225139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001217672,"about_ca_topic_score_gemma":0.0005893863,"domain_scores_codex":[0.9991432,0.0001642474,0.0001056507,0.0001855826,0.0003460226,0.00005525785],"domain_scores_gemma":[0.9968916,0.002212848,0.0003479015,0.0001897995,0.0003049397,0.00005288677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000138632,0.00007616865,0.0288763,0.003464135,0.0002843389,0.0004290673,0.0003347903,0.02005436,0.00228933,0.05631986,0.007750217,0.8799828],"study_design_scores_gemma":[0.00004133533,0.0007636489,0.1458969,0.004866161,0.000731586,0.005517058,0.001110991,0.1036591,0.008710189,0.1420108,0.586401,0.0002911555],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09660425,0.7789328,0.09059238,0.001777559,0.0005742572,0.00006664655,0.001308408,0.0003323492,0.02981141],"genre_scores_gemma":[0.40251,0.5739145,0.01500011,0.0003867538,0.001859111,0.00004818862,0.001513535,0.0001082018,0.004659581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004426596,"threshold_uncertainty_score":0.007183492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169533707906936,"score_gpt":0.2432035285064712,"score_spread":0.2215081914274019,"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."}}