{"id":"W3124269658","doi":"10.1016/s1059-0560(02)00106-5","title":"Bank moral hazard and the introduction of official deposit insurance in Canada","year":2003,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Université du Québec à Montréal","funders":"Université du Québec à Montréal","keywords":"Moral hazard; Deposit insurance; Capitalization; Monetary economics; Actuarial science; Business; Equity (law); Leverage (statistics); Bank regulation; Economics; Financial system; Financial economics; Incentive; Microeconomics; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.005366283,0.0002618546,0.0008546485,0.002654071,0.007464843,0.008132709,0.001768677,0.005727468,0.005761746],"category_scores_gemma":[0.03261429,0.0005458952,0.0007731661,0.003985933,0.004308886,0.001706031,0.001654858,0.00768791,0.0002127469],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1907174,"about_ca_system_score_gemma":0.2503459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966267,"about_ca_topic_score_gemma":0.9973516,"domain_scores_codex":[0.995407,0.0002815534,0.0001990101,0.0003426591,0.001840096,0.001929787],"domain_scores_gemma":[0.9773157,0.004736561,0.002196098,0.0005951043,0.01120549,0.003951138],"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":[0.0009623959,0.000254175,0.1048391,0.0004365419,0.0001786778,0.001071492,0.009433987,0.009256918,0.0006864395,0.6447744,0.1249496,0.1031563],"study_design_scores_gemma":[0.0004315944,0.00009116361,0.5321312,0.0009186561,0.0004016275,0.0004253358,0.006837933,0.01495578,0.001612304,0.05682816,0.3849436,0.000422634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5498878,0.04642129,0.00153739,0.2883744,0.001885848,0.000139493,0.003605165,0.0001527357,0.1079959],"genre_scores_gemma":[0.9539369,0.01128892,0.0005676266,0.009080951,0.0004947833,0.00002046656,0.000340274,0.00004400897,0.02422603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1907174,"threshold_uncertainty_score":0.9386531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292030876177267,"score_gpt":0.2091256481263596,"score_spread":0.196205339364587,"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."}}