{"id":"W3125157368","doi":"10.7441/joc.2019.02.08","title":"Comparison of Bank Efficiencies between the US and Canada: Evidence Based on SFA and DEA","year":2019,"lang":"en","type":"article","venue":"Journal of Competitiveness","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007249653,0.0006292202,0.0009943102,0.006397035,0.001277385,0.00303875,0.001029564,0.0003567034,0.00204676],"category_scores_gemma":[0.0316855,0.0002360883,0.00148022,0.01755877,0.001234138,0.001176625,0.001105553,0.0008335845,0.000192923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02075242,"about_ca_system_score_gemma":0.03010859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9732771,"about_ca_topic_score_gemma":0.9700731,"domain_scores_codex":[0.99097,0.001001942,0.0005553387,0.0007192671,0.005683528,0.00107005],"domain_scores_gemma":[0.9686354,0.008430373,0.004902292,0.001389602,0.01577215,0.0008703143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003962693,0.00009562667,0.8544433,0.0008744875,0.002246535,0.0001404301,0.0009425463,0.01302085,0.0001744461,0.02079971,0.008293003,0.09857267],"study_design_scores_gemma":[0.00001984784,0.00004935556,0.9737175,0.0004088896,0.0005901452,0.00005042472,0.00175492,0.005699233,0.0005274796,0.001730923,0.01539282,0.0000585106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8840084,0.02518492,0.008528604,0.002871926,0.0001082213,0.0001591899,0.02374742,0.0001177401,0.05527358],"genre_scores_gemma":[0.982486,0.005499415,0.002335403,0.0002233411,0.000023443,0.00003899637,0.007406149,0.00002417606,0.001963028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02672291,"threshold_uncertainty_score":0.15057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08516510642812683,"score_gpt":0.3775140225747911,"score_spread":0.2923489161466643,"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."}}