{"id":"W2962098779","doi":"10.3390/jrfm12030115","title":"Contagion Effect in Cryptocurrency Market","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Fundação de Amparo à Pesquisa do Estado da Bahia","keywords":"Cryptocurrency; Crash; Econometrics; Economics; Financial economics; Monetary economics; Computer science; Computer security","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":[0.00204749,0.0002904265,0.0004367305,0.00156178,0.0005946641,0.00186221,0.000365265,0.0007916077,0.003286841],"category_scores_gemma":[0.01391416,0.0001236108,0.0005551364,0.0009412222,0.0009541074,0.002106504,0.0008503728,0.001087718,0.0001973929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009235722,"about_ca_system_score_gemma":0.0004149167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005949039,"about_ca_topic_score_gemma":0.004368513,"domain_scores_codex":[0.9990383,0.0002869531,0.00006872322,0.0001731682,0.0002619322,0.0001709395],"domain_scores_gemma":[0.9883487,0.006460432,0.002994593,0.0005678951,0.00112347,0.0005049129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001368644,0.0004637439,0.8169448,0.0004121471,0.0009052313,0.005291015,0.002316149,0.03253074,0.01413887,0.06963398,0.002916884,0.05307781],"study_design_scores_gemma":[0.00008115997,0.0008118378,0.7074413,0.0001751513,0.0007951589,0.001500426,0.00160172,0.226218,0.008551316,0.04783784,0.004805125,0.0001810051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890108,0.0009847649,0.004061325,0.0006440038,0.00003762147,0.00003440016,0.000107936,0.00003809668,0.005081061],"genre_scores_gemma":[0.9992143,0.0001195473,0.0002060742,0.00002479271,0.00002349968,0.000004916245,0.00003616929,0.000003606594,0.0003670787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005949039,"threshold_uncertainty_score":0.01182884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002305310686735457,"score_gpt":0.1972157035437902,"score_spread":0.1949103928570547,"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."}}