{"id":"W2969861416","doi":"","title":"Legal Status of Cryptocurrency as Electronic Money","year":2019,"lang":"en","type":"article","venue":"Journal of Legal Ethical and Regulatory Issues","topic":"Security, Politics, and Digital Transformation","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Circulation (fluid dynamics); Virtual currency; Digital currency; Legal tender; Currency; Business; Government (linguistics); Electronic money; China; Commerce; Finance; Economics; Law; Monetary economics; Political science; Engineering; Payment; Computer security","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":[0.0008032427,0.00009605785,0.0002839025,0.00009698634,0.0001080904,0.00009523976,0.000137989,0.0002706721,0.0001275334],"category_scores_gemma":[0.0002381196,0.00007558995,0.0001296862,0.00008180041,0.0004654457,0.0007426571,0.00001506629,0.0007068788,0.00001359759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007550452,"about_ca_system_score_gemma":0.0007448598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001384955,"about_ca_topic_score_gemma":0.0001598886,"domain_scores_codex":[0.9982126,0.0001502283,0.0004554301,0.00009146358,0.0006980692,0.0003922216],"domain_scores_gemma":[0.9990092,0.0001296448,0.0002196992,0.00007785655,0.000296367,0.0002672589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000756485,0.00007020309,0.001672644,0.00006926615,0.0000324705,0.000003841609,0.008698767,0.000005477526,0.0004118641,0.9867577,0.0004797151,0.001722391],"study_design_scores_gemma":[0.0005980147,0.0006399872,0.004449188,0.0001216106,0.00003167708,0.0000204484,0.003607567,0.00001427072,0.001385917,0.09261956,0.8963619,0.0001498199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380568,0.003626296,0.00001644191,0.004991831,0.000422177,0.0001031129,0.000004763074,0.00001254861,0.052766],"genre_scores_gemma":[0.9962413,0.001805538,0.0000462725,0.0003612231,0.0003511733,3.624746e-7,0.000001060328,0.000005941664,0.001187068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8958822,"threshold_uncertainty_score":0.3082469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454131785211768,"score_gpt":0.3348489698553468,"score_spread":0.3203076520032291,"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."}}