{"id":"W2986081212","doi":"10.5430/jbar.v8n2p20","title":"The Impact of Digital Transformation on Banking","year":2019,"lang":"en","type":"article","venue":"Journal of Business Administration Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital transformation; Transformation (genetics); Context (archaeology); Set (abstract data type); Focus (optics); Computer science; Business; Accounting; World Wide Web; Geography","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":[0.002951978,0.00007604576,0.0002163387,0.0003655349,0.0001436636,0.0002660387,0.0002747708,0.00006087326,0.0001936516],"category_scores_gemma":[0.0006073671,0.00005569375,0.000139089,0.000769354,0.0001062291,0.0006761035,0.00001357556,0.0002384757,0.00005431722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000179907,"about_ca_system_score_gemma":0.0002876021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001727466,"about_ca_topic_score_gemma":0.000003404823,"domain_scores_codex":[0.9984874,0.00004112715,0.0009006779,0.0001140683,0.0002605261,0.0001961624],"domain_scores_gemma":[0.9979031,0.0003682375,0.0006158747,0.0002325277,0.0008401304,0.00004013651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001365724,0.001223601,0.3621547,0.0002293999,0.0001672482,0.000005239327,0.001994462,0.02334947,0.0007343823,0.585763,0.0005459909,0.02246675],"study_design_scores_gemma":[0.0007485994,0.001253999,0.925651,0.00007732292,0.000002365557,0.00002764587,0.000211663,0.006016895,0.0003864207,0.06423803,0.00126577,0.0001203335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854144,0.0001876381,0.001674599,0.001143308,0.0001883931,0.0002053117,0.00002117433,0.000003429903,0.01116174],"genre_scores_gemma":[0.9997075,0.00005759817,0.00002906149,0.000002233445,0.00007660677,0.000001672535,0.000004823393,0.000008788628,0.0001117051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5634962,"threshold_uncertainty_score":0.2565418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.071068167748112,"score_gpt":0.3458025811097813,"score_spread":0.2747344133616694,"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."}}