{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001450477,0.0001791968,0.0001390538,0.00008840969,0.000249805,0.0003384225,0.0001125445,0.0001280472,0.00009178184],"category_scores_gemma":[0.0002037454,0.0001914081,0.0000348888,0.001072484,0.00007610898,0.0004972891,0.000135787,0.00009337387,0.0003397798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501541,"about_ca_system_score_gemma":0.00001038389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001221236,"about_ca_topic_score_gemma":0.0006189661,"domain_scores_codex":[0.9988591,0.000005516365,0.0001923367,0.0004301519,0.0001856438,0.0003272278],"domain_scores_gemma":[0.9995466,0.000005133334,0.0001085075,0.0001597728,0.00015929,0.00002063035],"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":[0.0003443512,0.0000674026,0.007956545,0.00001871172,0.000007871849,0.000004616772,0.00001360012,0.002952876,0.000018343,0.1528004,0.7538686,0.0819466],"study_design_scores_gemma":[0.0003511543,0.0001265624,0.05643252,0.00006672009,0.00001869981,0.000008451253,0.00001313315,0.01000428,0.00001616568,0.003965328,0.9286744,0.0003225853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7502573,0.00006046446,0.07836408,0.004047629,0.02444427,0.0007591724,0.00001437967,0.0005175489,0.1415351],"genre_scores_gemma":[0.8436752,0.000004788788,0.0000926727,0.002466319,0.1534836,0.000007698481,0.00002240202,0.00001265234,0.0002346689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1748058,"threshold_uncertainty_score":0.7805395,"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."}}