{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006872104,0.0002281114,0.0003373176,0.001626401,0.00490887,0.01127825,0.001177656,0.005730426,0.005297064],"category_scores_gemma":[0.01927297,0.0002780943,0.0003686615,0.001876477,0.01319677,0.006368544,0.003008622,0.005077037,0.001274453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003841419,"about_ca_system_score_gemma":0.00925602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01030723,"about_ca_topic_score_gemma":0.005102403,"domain_scores_codex":[0.9902223,0.003091033,0.0009485602,0.001194557,0.003483386,0.001060171],"domain_scores_gemma":[0.9865342,0.005991057,0.001821808,0.001828493,0.00326188,0.0005625464],"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":[0.000008479344,0.00001048539,0.0002716514,0.00002818007,0.000002216522,0.0000701789,0.001480193,0.00004796835,0.0002673921,0.9888324,0.002675815,0.006305173],"study_design_scores_gemma":[0.00003918223,0.00008074434,0.003253362,0.0007670708,0.00003755343,0.0007121742,0.002929939,0.001166687,0.002551098,0.3496636,0.6386971,0.0001015025],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07695584,0.006737459,0.01326809,0.03084686,0.001012046,0.0001271283,0.0003559786,0.0001542848,0.8705423],"genre_scores_gemma":[0.9304168,0.002396765,0.007045835,0.008460164,0.0006479967,0.0002193174,0.0002748367,0.00006717741,0.05047108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01127825,"threshold_uncertainty_score":0.03634357,"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."}}