{"id":"W1530834962","doi":"10.2139/ssrn.961776","title":"A Structural Empirical Analysis of Retail Banking Competition: The Case of Hungary","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Business; Retail banking; Competition (biology); Industrial organization; Financial system; Commerce","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":[0.0007803265,0.0002468913,0.001054974,0.001447943,0.001204832,0.002344155,0.001258774,0.001051562,0.01012228],"category_scores_gemma":[0.004200658,0.0002825686,0.0007339375,0.002299391,0.001747572,0.001494356,0.001517212,0.0009528089,0.0004519538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00250998,"about_ca_system_score_gemma":0.002195383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03818988,"about_ca_topic_score_gemma":0.0346793,"domain_scores_codex":[0.9993798,0.000178841,0.00003431831,0.0000720548,0.00007480012,0.0002601763],"domain_scores_gemma":[0.994692,0.00373475,0.0005743118,0.0001881716,0.0004193076,0.0003915308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003305334,0.002889664,0.3923942,0.0008035681,0.0006382426,0.01176721,0.007416277,0.1952253,0.00541941,0.3194788,0.007399074,0.05326297],"study_design_scores_gemma":[0.0005643422,0.0009729362,0.4464964,0.0001735362,0.0007062125,0.0008417186,0.02346057,0.4430935,0.001710517,0.07690381,0.004929921,0.0001466006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951321,0.0001396429,0.0008922956,0.0001907143,0.000005353311,0.00002022821,0.000135843,0.000008406469,0.003475385],"genre_scores_gemma":[0.9992536,0.00005003412,0.0001802018,0.00001090843,0.000005076045,0.000004552828,0.00009192008,0.000001919493,0.000401844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03818988,"threshold_uncertainty_score":0.07593518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425571798128192,"score_gpt":0.2208571672941345,"score_spread":0.2066014493128526,"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."}}