{"id":"W3111070374","doi":"10.2866/58387","title":"Liquidity in resolution: Comparing frameworks for liquidity provision across jurisdictions","year":2020,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; European union; Collateral; Business; Liquidity risk; Liquidity crisis; Lender of last resort; Taxpayer; Financial system; Finance; International economics; Economics; Economic policy; Monetary economics; Monetary policy; Central bank; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01510006,0.000356381,0.0009809391,0.004770416,0.002470815,0.01075627,0.002547113,0.00267233,0.006143548],"category_scores_gemma":[0.04244801,0.0003927796,0.001559068,0.004488332,0.007345663,0.008930921,0.007700994,0.002112482,0.0004092383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005851852,"about_ca_system_score_gemma":0.003795899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009981421,"about_ca_topic_score_gemma":0.008827545,"domain_scores_codex":[0.9831936,0.01021894,0.00097436,0.001137149,0.002594387,0.001881635],"domain_scores_gemma":[0.9765015,0.0115481,0.005777909,0.002037084,0.002796579,0.001338772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006703101,0.0001613849,0.03429503,0.0003328072,0.0003644286,0.0002994815,0.007672914,0.02255579,0.0006445381,0.887114,0.00159578,0.04429345],"study_design_scores_gemma":[0.0007093927,0.0009664703,0.1290018,0.001683531,0.0009354487,0.0006605473,0.04062703,0.07895582,0.002308039,0.6937146,0.05008482,0.0003525896],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8139154,0.008634532,0.05673267,0.008235024,0.00009058621,0.0002507205,0.000449088,0.0001629126,0.1115291],"genre_scores_gemma":[0.9937542,0.0007674194,0.004021968,0.0002678207,0.00003356628,0.00005615283,0.0001122036,0.00002496719,0.0009617021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01510006,"threshold_uncertainty_score":0.07985771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06805854984463544,"score_gpt":0.3290782249420796,"score_spread":0.2610196750974442,"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."}}