{"id":"W2901953505","doi":"10.1111/glob.12219","title":"Introduction to special section on blockchains and financial globalization","year":2018,"lang":"en","type":"article","venue":"Global Networks","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs; University of Toronto","funders":"","keywords":"Globalization; Section (typography); Special section; Politics; The Internet; Financial market; Volatility (finance); Blockchain; Political science; Sociology; Economics; Business; Engineering; Finance; Market economy; Computer science; Law; Computer security; Advertising; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006625023,0.0008003101,0.0007284547,0.002163121,0.001956264,0.002703718,0.0007350778,0.002792159,0.03944254],"category_scores_gemma":[0.002754411,0.0003266851,0.0006244444,0.001774263,0.001926728,0.004162284,0.002660513,0.004141012,0.008430789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623166,"about_ca_system_score_gemma":0.001068612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002137528,"about_ca_topic_score_gemma":0.002554024,"domain_scores_codex":[0.9995522,0.0001038207,0.00003333844,0.00009767737,0.0001399537,0.00007296034],"domain_scores_gemma":[0.9979463,0.001276616,0.0001176518,0.00009564735,0.0003339879,0.0002297811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003281342,0.0000793242,0.0005953078,0.0004385708,0.000009539801,0.0002943205,0.0006100511,0.0003183938,0.000645393,0.1014514,0.8414099,0.0541149],"study_design_scores_gemma":[0.000003293526,0.00002603062,0.0006736154,0.0004502214,0.000003576404,0.0001780488,0.0001529436,0.00010025,0.00007747052,0.01800358,0.9803221,0.000008918168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.005930317,0.1675703,0.01392839,0.1670043,0.3768522,0.0002724717,0.001030836,0.0003674173,0.2670438],"genre_scores_gemma":[0.03772522,0.1835025,0.003778447,0.06554792,0.5028889,0.0003684917,0.0009975889,0.0004638392,0.2047271],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03944254,"threshold_uncertainty_score":0.1319484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006064218970807566,"score_gpt":0.2052326641368162,"score_spread":0.1991684451660087,"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."}}