{"id":"W3189975333","doi":"10.3390/jrfm14080361","title":"On Prices of Privacy Coins and Bitcoin","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Anonymity; Value (mathematics); Blockchain; Commerce; Business; Internet privacy; Computer security; 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":[0.004143921,0.0005161136,0.0008441734,0.001941907,0.002294809,0.01005922,0.0009360089,0.003637699,0.01951287],"category_scores_gemma":[0.03608142,0.0004292839,0.0006606225,0.001990763,0.006128047,0.01701479,0.003059137,0.004677727,0.001702578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003560274,"about_ca_system_score_gemma":0.001568415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758097,"about_ca_topic_score_gemma":0.0011804,"domain_scores_codex":[0.9947009,0.001828594,0.0001764427,0.0004681985,0.002207911,0.0006180094],"domain_scores_gemma":[0.9800418,0.013204,0.00269438,0.0012905,0.001998918,0.0007703663],"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":[0.00008948693,0.00001615548,0.0006613501,0.00004701844,0.000007376739,0.0000903695,0.0001379888,0.0011036,0.0001165997,0.9886079,0.001900207,0.007221863],"study_design_scores_gemma":[0.00004122181,0.00009666967,0.001641542,0.0002523024,0.0000258598,0.0002473276,0.000449408,0.008533095,0.0005814031,0.9618735,0.02619517,0.00006248246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2227899,0.02671257,0.08525622,0.04908164,0.00172774,0.0001507087,0.0006366855,0.0002244022,0.6134202],"genre_scores_gemma":[0.9705894,0.004393801,0.002813638,0.001097989,0.0007203241,0.00007086613,0.00009449047,0.0000911845,0.02012828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01951287,"threshold_uncertainty_score":0.06527704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005425349813112265,"score_gpt":0.2117540860717509,"score_spread":0.2063287362586387,"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."}}