{"id":"W4413852265","doi":"10.14419/94v7eh76","title":"Digital Transformation in Banking: Assessing The Impact of Technological Innovation on the Performance of Public Sector Banks in South India","year":2025,"lang":"en","type":"article","venue":"International Journal of Accounting and Economics Studies","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Transformation (genetics); Business; Public sector; Technological change; Financial system; Economics; Industrial organization; Economy; Biology; Macroeconomics","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":[0.0006886524,0.0001955145,0.0001742814,0.001621925,0.000569553,0.001961993,0.0003919454,0.0004054516,0.002299831],"category_scores_gemma":[0.00234927,0.0001197636,0.0004062945,0.002132693,0.001012345,0.0008707076,0.001351287,0.0007730374,0.0005788427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769434,"about_ca_system_score_gemma":0.001380877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0183747,"about_ca_topic_score_gemma":0.02186333,"domain_scores_codex":[0.9991904,0.0002072755,0.00007712121,0.00008081524,0.0002206055,0.0002238096],"domain_scores_gemma":[0.9970158,0.0008110304,0.000909963,0.0001518077,0.0006027161,0.0005086887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001264242,0.0002928712,0.9675328,0.0001104242,0.00006265414,0.0005374636,0.006562494,0.0009770177,0.001151934,0.0006531029,0.0006437669,0.02134897],"study_design_scores_gemma":[0.000002365067,0.0001520131,0.9889665,0.00002229813,0.00002044301,0.0001814443,0.008966329,0.000489875,0.0003337238,0.00009419033,0.000758843,0.00001190543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99783,0.00006083096,0.00004133821,0.0001529372,0.000002534343,0.000007001135,0.0001087251,0.000005079304,0.001791511],"genre_scores_gemma":[0.9995425,0.00006190068,0.00003362558,0.00001723115,0.000002929405,0.000003131033,0.00005107368,6.682069e-7,0.0002869829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0183747,"threshold_uncertainty_score":0.0365355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03839096718934576,"score_gpt":0.2818277352934587,"score_spread":0.2434367681041129,"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."}}