{"id":"W4210588746","doi":"10.3390/jrfm15020062","title":"Lessons from Remarkable FinTech Companies for the Financial Inclusion in Peru","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Microfinance; Financial services; Business; Population; Inclusion (mineral); General partnership; Financial institution; Finance; FinTech; Mobile payment; Mobile banking; Financial system; Economic growth; Economics; Marketing; Payment","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":[0.001032615,0.0001916499,0.0001389626,0.0008687186,0.002360604,0.002537085,0.0003788509,0.000631768,0.004312697],"category_scores_gemma":[0.002693246,0.0001272157,0.0001313494,0.00122717,0.001230229,0.002176002,0.002527008,0.0008625154,0.0002160157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307723,"about_ca_system_score_gemma":0.001161408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00657341,"about_ca_topic_score_gemma":0.01479927,"domain_scores_codex":[0.999541,0.000212571,0.00001387055,0.00004035846,0.00007359561,0.0001186378],"domain_scores_gemma":[0.9988176,0.0005078103,0.0002461086,0.00005285349,0.0001502896,0.0002253146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001664609,0.0003364709,0.3838109,0.0008842393,0.00006987846,0.01100304,0.4178495,0.0003208801,0.002980284,0.03011052,0.01636163,0.1361062],"study_design_scores_gemma":[0.00001030056,0.0001521918,0.3986693,0.0007543963,0.00003141692,0.001573185,0.4988786,0.0003549411,0.0008852212,0.002809566,0.09584828,0.00003258218],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964119,0.001468722,0.000218012,0.01130094,0.00002198516,0.00002185065,0.0001283393,0.00001275275,0.02270847],"genre_scores_gemma":[0.9971144,0.0008159382,0.0001294196,0.0005010013,0.00001287784,0.00001089829,0.00005277323,0.000004778212,0.001357867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00657341,"threshold_uncertainty_score":0.01442742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035140955466153,"score_gpt":0.2313934997614057,"score_spread":0.2110420902067442,"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."}}