{"id":"W4249359240","doi":"10.2139/ssrn.3744260","title":"Cryptocurrency Shocks","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cryptocurrency; Economics; Business; Monetary economics; Computer science; Computer security","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":[0.0006092576,0.0003806137,0.0004220254,0.0005659889,0.0005324782,0.002948503,0.0004448381,0.002291019,0.0294081],"category_scores_gemma":[0.005375696,0.0002153934,0.0003278824,0.0007235494,0.0006569264,0.001922113,0.0008430717,0.003592368,0.003190772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001768192,"about_ca_system_score_gemma":0.0008741941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002127513,"about_ca_topic_score_gemma":0.001300851,"domain_scores_codex":[0.9995711,0.00004811019,0.00002256213,0.00007103549,0.0001637705,0.0001234653],"domain_scores_gemma":[0.9984887,0.0004805821,0.0003145747,0.0002487339,0.0002687571,0.0001986209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006924192,0.0002062455,0.008031208,0.0001697494,0.00009442705,0.001593167,0.0002386118,0.030846,0.007150384,0.8168157,0.07368232,0.06047982],"study_design_scores_gemma":[0.0003075596,0.0005056699,0.03134591,0.0001360386,0.00007765296,0.001742514,0.00104105,0.1157381,0.01339327,0.5743798,0.2611818,0.0001507174],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4202853,0.001893201,0.03323841,0.0337299,0.002817067,0.0002117082,0.004384699,0.002316273,0.5011234],"genre_scores_gemma":[0.9411135,0.0003557861,0.0004284304,0.001119543,0.0002299907,0.00002022175,0.0004757674,0.00004915941,0.05620746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0294081,"threshold_uncertainty_score":0.09837991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0093609652010561,"score_gpt":0.2281617531232411,"score_spread":0.218800787922185,"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."}}