{"id":"W4319027620","doi":"10.1007/s12197-023-09618-x","title":"Bank performance before and after the subprime crisis: Evidence from pooled data on big US banks","year":2023,"lang":"en","type":"article","venue":"Journal of Economics and Finance","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"FP7 Socio-Economic Sciences and Humanities","keywords":"Securitization; Market liquidity; Business; Diversification (marketing strategy); Financial system; Endogeneity; Too big to fail; Commission; Monetary economics; Sample (material); Economics; Financial crisis; Finance; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001540849,0.0001764418,0.0004285095,0.0001852416,0.0001709757,0.0001746816,0.0005810038,0.00009959724,0.00002370166],"category_scores_gemma":[0.000199963,0.000151743,0.00006966962,0.0002216929,0.0001375152,0.0006360402,0.0002348188,0.0002576117,0.00004663733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006679238,"about_ca_system_score_gemma":0.00005001846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000927905,"about_ca_topic_score_gemma":0.0001081552,"domain_scores_codex":[0.9983613,0.00001937838,0.0008630614,0.0004621902,0.0000380331,0.0002559923],"domain_scores_gemma":[0.9981633,0.0002266915,0.0007614341,0.0007515089,0.00004873614,0.00004835721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003471803,0.0001010042,0.9089528,0.00006390832,0.0001417362,0.00001154261,0.001756311,0.00429793,0.000005453443,0.01808702,0.001018323,0.0652168],"study_design_scores_gemma":[0.0003561923,0.0001695308,0.9252751,0.0000888286,0.00001846979,0.00001256478,0.00002740486,0.04250633,0.00001568706,0.01983162,0.0115239,0.0001743398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901869,0.00554763,0.00009224036,0.003088979,0.0006351931,0.0001201435,0.0002225894,0.000008312642,0.00009806785],"genre_scores_gemma":[0.9769222,0.02211473,0.0002631667,0.0002872729,0.0002991756,0.000005245495,0.000006672882,0.00002053263,0.00008101935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06504246,"threshold_uncertainty_score":0.6187899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04030791537512445,"score_gpt":0.2329027706346928,"score_spread":0.1925948552595684,"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."}}