{"id":"W3123993377","doi":"10.1111/jmcb.12363","title":"Rollover Risk, Liquidity and Macroprudential Regulation","year":2016,"lang":"en","type":"preprint","venue":"Journal of money credit and banking","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"European Commission","keywords":"Market liquidity; Rollover (web design); Liquidity crisis; Liquidity risk; Accounting liquidity; Ex-ante; Intermediary; Monetary economics; Business; Funding liquidity; Economics; Finance; Macroeconomics; Computer science","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":[0.00135318,0.0005949042,0.0007788022,0.0006386163,0.0006206189,0.003128948,0.001035479,0.0018647,0.003697624],"category_scores_gemma":[0.006374398,0.0002754632,0.0009741144,0.000645945,0.003087785,0.002612452,0.001723693,0.001695677,0.0003910927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032028,"about_ca_system_score_gemma":0.0006269923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001284897,"about_ca_topic_score_gemma":0.000694159,"domain_scores_codex":[0.9993224,0.0002204525,0.0000289627,0.0001250572,0.0001063814,0.000196776],"domain_scores_gemma":[0.99419,0.002678708,0.002298524,0.0003367933,0.0002100902,0.0002859011],"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":[0.0001780532,0.0001765921,0.0105911,0.0001362839,0.0001132038,0.000743263,0.0003682137,0.08876435,0.005053721,0.8764686,0.001593141,0.01581346],"study_design_scores_gemma":[0.00007792665,0.0001965341,0.00595193,0.00006759436,0.0001108219,0.0002844497,0.000304484,0.2865178,0.002363425,0.7016293,0.002437867,0.00005778428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.75632,0.005952721,0.1908354,0.005351901,0.0001166212,0.00007556277,0.0002209234,0.0002002962,0.04092664],"genre_scores_gemma":[0.9941578,0.001017052,0.001739075,0.00008064942,0.00007512014,0.00002296959,0.00001925234,0.00001025826,0.002877765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003697624,"threshold_uncertainty_score":0.01236981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956742288982304,"score_gpt":0.2341499758116799,"score_spread":0.2145825529218569,"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."}}