{"id":"W4416005159","doi":"10.5465/amproc.2025.14867symposium","title":"FinTech and the Emerging Digital Money Market: What Can We Learn from the Global South?","year":2025,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Financial inclusion; Digital currency; Financial services; Mobile banking; FinTech; Currency; Emerging markets; Digital economy; Digital Revolution; Financial market","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005891305,0.0003364776,0.0003378683,0.0001647771,0.0003401009,0.002198396,0.001080621,0.0001167674,0.00004191829],"category_scores_gemma":[0.0002264202,0.0002280685,0.0001345256,0.001097928,0.0004853156,0.003163767,0.001713422,0.000352779,0.00003506669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005879386,"about_ca_system_score_gemma":0.000006755361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001041645,"about_ca_topic_score_gemma":0.000005871166,"domain_scores_codex":[0.9980487,0.000004320034,0.0004883313,0.0005649463,0.0004435463,0.0004501582],"domain_scores_gemma":[0.9992555,0.00009579073,0.000414994,0.000145013,0.00007427299,0.00001445072],"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":[0.0003708194,0.00005029127,0.05485731,0.0007221484,0.0004003642,0.000002663664,0.000436664,0.000004363396,0.00001321941,0.6843264,0.07506387,0.1837519],"study_design_scores_gemma":[0.002656853,0.00001101812,0.06149798,0.002025362,0.0004237299,0.000001940826,0.01458467,0.002315765,0.0000963466,0.2604259,0.6553519,0.0006085318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4739488,0.004579332,0.0005334924,0.1414682,0.000520814,0.002060136,0.00003144763,0.000436258,0.3764215],"genre_scores_gemma":[0.988252,0.0007233075,0.00006284929,0.005435165,0.0002326572,0.00006503478,0.000005127357,0.00002599996,0.005197832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.580288,"threshold_uncertainty_score":0.9988374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017942015656363,"score_gpt":0.2211562612969376,"score_spread":0.210976841140374,"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."}}