{"id":"W4401873762","doi":"10.4018/979-8-3693-6321-8.ch009","title":"Accelerating Financial Inclusion in Developing Economies (India) Through Digital Financial Technology","year":2024,"lang":"en","type":"book-chapter","venue":"Advances in finance, accounting, and economics book series","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Financial inclusion; Financial services; Business; Emerging markets; Finance; Inclusion (mineral); Financial modeling; Financial system","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":[0.001460677,0.0002637108,0.0002096507,0.001882253,0.001669422,0.005134584,0.0006564629,0.0005381336,0.003665667],"category_scores_gemma":[0.003107308,0.0001586025,0.0003426233,0.00372136,0.001419308,0.002603262,0.003601576,0.0007997448,0.0003212402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003544542,"about_ca_system_score_gemma":0.006486604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008150781,"about_ca_topic_score_gemma":0.01536269,"domain_scores_codex":[0.9990894,0.0004647546,0.00004254442,0.00006168102,0.0001783785,0.0001633131],"domain_scores_gemma":[0.9977195,0.001713123,0.000204091,0.00009700227,0.0001557553,0.0001104198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001602972,0.0007984864,0.1360946,0.002458721,0.0001018256,0.001742403,0.05087201,0.00961621,0.002222555,0.3281904,0.01535024,0.4523924],"study_design_scores_gemma":[0.00005487271,0.001046225,0.3355115,0.003789524,0.0002827525,0.002550751,0.2664718,0.02153355,0.009693688,0.09751096,0.2613849,0.0001695683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8128043,0.005763881,0.009929344,0.005770468,0.0001168861,0.0006180296,0.001118321,0.0001205579,0.1637583],"genre_scores_gemma":[0.976532,0.005808667,0.009689449,0.0003117356,0.00002291646,0.0002318879,0.0001956537,0.00001064886,0.007197075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008150781,"threshold_uncertainty_score":0.02571756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123290881186391,"score_gpt":0.2120339797363344,"score_spread":0.1997048916176953,"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."}}