{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003580559,0.00007556012,0.0002889842,0.00004235223,0.00005066806,0.000002468797,0.00008187172,0.00002927498,0.0006290548],"category_scores_gemma":[0.0002962288,0.00008497428,0.00003941326,0.0002032057,0.00003126902,0.0000768368,0.00001627102,0.00004331116,0.000004052687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007941213,"about_ca_system_score_gemma":0.0001936446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0977087,"about_ca_topic_score_gemma":0.1683466,"domain_scores_codex":[0.9992067,0.00001259871,0.0004293122,0.0001865814,0.00003712262,0.0001276619],"domain_scores_gemma":[0.9995059,0.00001676353,0.0002367425,0.0001551258,0.00004754597,0.00003792668],"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":[0.0000208327,0.0001927277,0.3115445,0.007057121,0.00004386175,0.000003992638,0.0004797499,0.00002076658,0.000007493203,0.597546,0.03439167,0.04869127],"study_design_scores_gemma":[0.0001792466,0.00005248383,0.7202394,0.0004011562,0.00002061545,0.000006806751,0.000005193183,0.0001173432,0.00005665687,0.009333295,0.2693578,0.0002300068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4280666,0.508663,0.001800656,0.0009603612,0.0009229938,0.001151045,0.0001539826,0.00004883826,0.05823245],"genre_scores_gemma":[0.9907124,0.008309864,0.0004866649,0.0003079217,0.000023063,0.00001029443,0.000002137734,0.000007971954,0.0001396958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5882127,"threshold_uncertainty_score":0.9082997,"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."}}