{"id":"W4385243358","doi":"10.1007/978-981-99-3243-6_54","title":"Fostering Adoption of Digital Payments in India for Financial Inclusion: Policies and Environment for Implementation","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Payment; Business; Financial inclusion; Mobile payment; Payment service provider; Debit card; Cash; Transparency (behavior); Payment processor; Finance; Commerce; Financial services; Credit card; Computer security; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002472947,0.000262085,0.0004162039,0.0003244406,0.0001061853,0.0002509373,0.00008876756,0.0002608407,0.000001736467],"category_scores_gemma":[0.00004580375,0.0002564893,0.00005960524,0.00007602009,0.00004535016,0.0003962617,0.0006962953,0.0001254762,8.467007e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007343527,"about_ca_system_score_gemma":0.000009419543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008240015,"about_ca_topic_score_gemma":0.0002286253,"domain_scores_codex":[0.998734,0.000002335367,0.0005254372,0.0003319058,0.0001467136,0.0002595896],"domain_scores_gemma":[0.9992978,0.000148871,0.0004169516,0.00009895965,0.00002872294,0.000008714092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000553698,0.00005882373,0.03990985,0.007453864,0.0001024808,0.00001914398,0.0007841095,0.01946809,0.00007824781,0.1173812,0.0006015336,0.8135889],"study_design_scores_gemma":[0.01193008,0.0009954148,0.07147261,0.01639199,0.0003731199,0.00002341473,0.0003574823,0.1527821,0.00004794444,0.5237844,0.2173632,0.004478186],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2875652,0.02820328,0.6040502,0.00148374,0.01066937,0.03876815,0.00215529,0.0005398689,0.02656489],"genre_scores_gemma":[0.9979011,0.0002187435,0.00003987701,0.00007096234,0.0007647325,0.0001534707,0.0003942382,0.00005736457,0.0003994959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8091108,"threshold_uncertainty_score":0.9999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02740105774697239,"score_gpt":0.2501650362225984,"score_spread":0.222763978475626,"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."}}