{"id":"W1553219730","doi":"","title":"Adverse Selection and Financial Crises","year":2011,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adverse selection; Hoarding (animal behavior); Market liquidity; Economics; Selection (genetic algorithm); Financial crisis; Financial market; Phenomenon; Finance; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002400045,0.000144376,0.0003304406,0.001227563,0.0006096047,0.001814287,0.0003018504,0.001275753,0.003775907],"category_scores_gemma":[0.008573026,0.0001040747,0.0002149769,0.001171542,0.002706494,0.00092066,0.000950058,0.001050362,0.00033745],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667122,"about_ca_system_score_gemma":0.001584666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00973546,"about_ca_topic_score_gemma":0.006767998,"domain_scores_codex":[0.9983168,0.0007491017,0.00009016115,0.0001262217,0.0004634709,0.0002542902],"domain_scores_gemma":[0.9940208,0.002783919,0.001580911,0.0001611121,0.0009613328,0.0004919804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004306169,0.0001456796,0.09407441,0.0008826121,0.0002305603,0.00230721,0.002634086,0.008628135,0.00173759,0.4787568,0.04929762,0.3608746],"study_design_scores_gemma":[0.00008067844,0.0001933888,0.2037538,0.000995672,0.0001096733,0.003510231,0.002721386,0.003800378,0.0007613938,0.5879746,0.1959878,0.0001109269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2845137,0.3578423,0.01239824,0.06684224,0.00128773,0.0001061403,0.0003826651,0.00009810193,0.2765289],"genre_scores_gemma":[0.8885301,0.1005506,0.0005477823,0.00288769,0.001191786,0.00001627726,0.0000840249,0.000008610921,0.006183177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9983329,"threshold_uncertainty_score":0.01935762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888085301053006,"score_gpt":0.2118606902586209,"score_spread":0.1829798372480909,"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."}}