{"id":"W4392424063","doi":"10.6000/1929-4409.2020.09.374","title":"Legal Status of Electronic Money in Ukraine","year":2021,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Digital Transformation in Financial Services","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legal status; Business; Electronic money; Law; Political science; Finance","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":[0.001439368,0.0000722988,0.0002327172,0.002399433,0.002735214,0.003651843,0.0004457448,0.0006486477,0.001675114],"category_scores_gemma":[0.004920773,0.0001288156,0.0001158435,0.001766488,0.003976793,0.001791459,0.002374702,0.0006269792,0.0001591906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004139527,"about_ca_system_score_gemma":0.004692576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0158032,"about_ca_topic_score_gemma":0.007572449,"domain_scores_codex":[0.998345,0.000561444,0.0001998416,0.0002127431,0.0003969806,0.0002839797],"domain_scores_gemma":[0.9968086,0.001169242,0.001074634,0.0001511204,0.000641826,0.0001546006],"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":[0.00009450989,0.00007623427,0.07308628,0.0004049065,0.00002744046,0.003290244,0.06960161,0.00115854,0.001619536,0.7648596,0.002768347,0.08301274],"study_design_scores_gemma":[0.00003447559,0.0002047199,0.4124076,0.002224891,0.0001458256,0.00640921,0.1118233,0.006474937,0.005320363,0.1576825,0.2971148,0.0001573575],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411795,0.003033033,0.0009947042,0.00199277,0.00003671244,0.0000153496,0.00009780446,0.00001741319,0.05263275],"genre_scores_gemma":[0.9974512,0.0004396042,0.0002263395,0.0001002945,0.000007752365,0.000005278619,0.00002890637,0.000002210113,0.001738311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0158032,"threshold_uncertainty_score":0.03142244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0402765648501004,"score_gpt":0.2737481939009155,"score_spread":0.2334716290508151,"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."}}