{"id":"W4381415822","doi":"10.2139/ssrn.4434353","title":"Banking Fragility and Resolution Costs","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; Queen's University; Government of Canada","funders":"","keywords":"Fragility; Business; Actuarial science; Economics; Financial system; Chemistry","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":[0.002702726,0.0003223892,0.0008561637,0.003006512,0.0009305873,0.005204255,0.001054338,0.00250166,0.03462986],"category_scores_gemma":[0.04805252,0.0005496187,0.0006595731,0.002990678,0.001479842,0.005133203,0.001326096,0.00245787,0.001912476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002243324,"about_ca_system_score_gemma":0.0009821975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003157773,"about_ca_topic_score_gemma":0.002621001,"domain_scores_codex":[0.9976078,0.0005949604,0.0002114664,0.0003244132,0.0004837965,0.0007775791],"domain_scores_gemma":[0.9038449,0.06496736,0.02069768,0.004195715,0.003242197,0.003052122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004888278,0.0009256645,0.4055591,0.0004295471,0.0006761548,0.001975687,0.001192146,0.1272545,0.00299065,0.3261955,0.01307724,0.1148356],"study_design_scores_gemma":[0.0002763914,0.000573253,0.4564746,0.0002314673,0.0005937439,0.003540338,0.00362225,0.1181078,0.0025888,0.4046799,0.009100379,0.0002110225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594068,0.002409163,0.005356384,0.002862211,0.00004577778,0.00003332466,0.000986164,0.00009891536,0.0288013],"genre_scores_gemma":[0.9967123,0.0001769185,0.0001917204,0.00004200557,0.00004969595,0.000006154363,0.0001562234,0.00001074519,0.002654288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03462986,"threshold_uncertainty_score":0.1158484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559035719389234,"score_gpt":0.2302246811708023,"score_spread":0.2146343239769099,"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."}}