{"id":"W2969756608","doi":"","title":"Cryptocurrency Circulation in the Global and Domestic Financial Systems","year":2019,"lang":"en","type":"article","venue":"Journal of Legal Ethical and Regulatory Issues","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Legalization; Circulation (fluid dynamics); Government (linguistics); Digital currency; Criminalization; Currency; Business; Finance; Economics; Computer security; Political science; Computer science; Monetary economics; Engineering; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001752857,0.0001100495,0.0004207006,0.00009781402,0.00004816262,0.0001131152,0.0001606835,0.0002539551,0.00003369746],"category_scores_gemma":[0.0002444547,0.00008422846,0.000060901,0.000112929,0.0001410391,0.0002355408,0.00003486818,0.0005724843,0.00002333439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006922223,"about_ca_system_score_gemma":0.00003397973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007374655,"about_ca_topic_score_gemma":0.000008067641,"domain_scores_codex":[0.9988098,0.00006475649,0.0007289828,0.0001726192,0.00007131584,0.0001525414],"domain_scores_gemma":[0.9992445,0.0001233063,0.0003916401,0.0001430167,0.0000386784,0.00005892241],"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":[0.00003000232,0.0000342467,0.09151565,0.00009697055,0.00001714973,0.00002223138,0.001352892,0.0003840097,0.000008813317,0.9059635,0.0002299489,0.0003446058],"study_design_scores_gemma":[0.001290594,0.0002784576,0.6014782,0.0001989037,0.00001323789,0.0005088847,0.0002218408,0.002559423,0.000001706396,0.1960654,0.1971262,0.00025713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710057,0.01763056,0.00005571157,0.005993588,0.0008779172,0.0001401097,0.00001077245,0.000004242944,0.004281388],"genre_scores_gemma":[0.9987031,0.000310236,0.0001014131,0.0004140642,0.0003592662,0.00000160229,7.557156e-7,0.000005666305,0.000103918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7098981,"threshold_uncertainty_score":0.3434737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643157511471295,"score_gpt":0.263710272969033,"score_spread":0.2472786978543201,"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."}}