{"id":"W4311728806","doi":"10.3390/jrfm15120580","title":"Distributed Ledger Technology (DLT): A Game Changer for MNEs in Emerging Markets","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Emerging markets; Business; Goods and services; Production (economics); Industrial organization; Commerce; Capital market; Economics; International trade; Market economy; Microeconomics; 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":[0.003850402,0.0007730334,0.0003838223,0.0004979192,0.001719989,0.00226085,0.001617959,0.002087794,0.008046242],"category_scores_gemma":[0.007727772,0.00027082,0.0006447302,0.0003629174,0.00264319,0.004707275,0.004499238,0.002493867,0.001204056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440706,"about_ca_system_score_gemma":0.001442819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401888,"about_ca_topic_score_gemma":0.002335157,"domain_scores_codex":[0.9978352,0.001295988,0.00007554355,0.0003027139,0.0003028747,0.0001876996],"domain_scores_gemma":[0.9970675,0.001602445,0.0002277911,0.0003141356,0.0002257394,0.0005624859],"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":[0.0009183555,0.0007953373,0.003310385,0.0004865482,0.0001038315,0.001399658,0.005811145,0.0777244,0.01549714,0.6447267,0.01787461,0.2313519],"study_design_scores_gemma":[0.0003768242,0.0007171704,0.0006015957,0.0002062118,0.00005676377,0.0004319061,0.001889593,0.4069966,0.005913111,0.3857231,0.1969978,0.00008937735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05495387,0.0004811272,0.8549529,0.008477628,0.0005156477,0.0008158619,0.0001274276,0.001308215,0.07836735],"genre_scores_gemma":[0.6204897,0.0005406876,0.3468287,0.001711178,0.0001719853,0.001263777,0.0001504675,0.0001631013,0.0286803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008046242,"threshold_uncertainty_score":0.02691734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007415356810821333,"score_gpt":0.2079870013526555,"score_spread":0.2005716445418342,"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."}}