{"id":"W7132912824","doi":"","title":"Rise of the Digital Financial Ecosystem in India: The Political Economy of Platforms, Gaps and Trends for Development","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Financial inclusion; Financial services; Participant observation; Mobile payment; Disadvantaged; Grounded theory; Qualitative research; Focus group; Public policy; Digital economy; Empowerment","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":[0.001245878,0.0002924217,0.0002642429,0.00256847,0.005416807,0.0125625,0.0008243003,0.001153079,0.007873711],"category_scores_gemma":[0.002324916,0.0003149089,0.0003386429,0.005217942,0.006454212,0.008605632,0.007921432,0.002917713,0.0007706415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006030729,"about_ca_system_score_gemma":0.00745885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01057617,"about_ca_topic_score_gemma":0.01241492,"domain_scores_codex":[0.9987302,0.000277877,0.00005020695,0.0001168894,0.0002550962,0.0005696215],"domain_scores_gemma":[0.9974873,0.001337605,0.0003581468,0.0001864253,0.000258879,0.000371613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001528603,0.0001530243,0.05015177,0.0008764338,0.00002458386,0.004083729,0.1003877,0.0008148093,0.002969707,0.6809193,0.00967826,0.1497878],"study_design_scores_gemma":[0.0000185027,0.0002323942,0.1382485,0.001500957,0.00006819396,0.004522045,0.3448785,0.00237928,0.002293616,0.1045608,0.4011338,0.0001634],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8188102,0.005824412,0.002261376,0.03839406,0.0001823022,0.00006820209,0.0003914906,0.0001344578,0.1339335],"genre_scores_gemma":[0.9927127,0.003108176,0.0006519227,0.0006505294,0.00003819962,0.00002683693,0.00007656864,0.00001924861,0.002715818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125625,"threshold_uncertainty_score":0.04375619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199869134042566,"score_gpt":0.2920577657803534,"score_spread":0.2700590744399277,"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."}}