{"id":"W4401629862","doi":"10.1016/j.tncr.2024.200091","title":"Enhancing economic growth through digital financial inclusion: An examination of India","year":2024,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Inclusion (mineral); Business; Natural resource economics; Economics; Finance; Financial services; Chemistry; Mineralogy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008856365,0.0001841109,0.0004444026,0.0001976455,0.0001970768,0.00007927648,0.0002169085,0.0001250283,0.0005585591],"category_scores_gemma":[0.00006652231,0.0002084144,0.0001667813,0.0004259606,0.00005851339,0.002130734,0.0000735604,0.000144501,0.0002020109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602543,"about_ca_system_score_gemma":0.0001704401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001757484,"about_ca_topic_score_gemma":0.00001994645,"domain_scores_codex":[0.9981427,0.00002669498,0.001128654,0.0004426314,0.0001040709,0.000155292],"domain_scores_gemma":[0.9992331,0.00005289095,0.0003811972,0.000184729,0.0001055893,0.0000424889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005545822,0.00005478518,0.000130502,0.001061701,0.000009132608,0.000002935826,0.0005814609,0.000007629621,0.0003058446,0.9914372,0.000350843,0.006052412],"study_design_scores_gemma":[0.0006550559,0.0003985389,0.0247096,0.002033963,0.00005331127,0.0000259283,0.00001864221,0.00132603,0.004845149,0.6697989,0.2951683,0.0009665447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3213634,0.2796939,0.3115675,0.01357784,0.004419455,0.003689279,0.004295619,0.0005116216,0.06088143],"genre_scores_gemma":[0.9879982,0.009358842,0.0009548615,0.0004443786,0.0001794362,0.00004412919,0.0008040435,0.00002503147,0.000191057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6666348,"threshold_uncertainty_score":0.8498892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03175075962274557,"score_gpt":0.2572262335201427,"score_spread":0.2254754738973972,"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."}}