{"id":"W1528365654","doi":"","title":"Understanding and Measuring Liquidity Risk: A Selection of Recent Research","year":2011,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Market liquidity; Interest rate; Model selection; Liquidity risk; Financial crisis; Selection (genetic algorithm); Monetary economics; 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":[0.003642916,0.00006860109,0.000341228,0.0001086865,0.0001012949,0.000004801132,0.0001121849,0.00003443944,0.0004476774],"category_scores_gemma":[0.0009025314,0.00007645986,0.00003424656,0.0004858786,0.00008142911,0.00006895958,0.00003463713,0.0001159721,7.683522e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004735768,"about_ca_system_score_gemma":0.0002527688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1253434,"about_ca_topic_score_gemma":0.1484492,"domain_scores_codex":[0.9988123,0.00009060101,0.0005768958,0.0002189999,0.0001160195,0.0001851766],"domain_scores_gemma":[0.9991112,0.00008402891,0.0003853072,0.0002178531,0.0001549334,0.00004661808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005308339,0.000245344,0.5421821,0.01140921,0.0001369742,0.000001469092,0.0009895936,0.00004946873,0.00004372327,0.4209916,0.005239567,0.0186579],"study_design_scores_gemma":[0.0006718478,0.0003659083,0.8064703,0.003435644,0.00006711815,0.00001185631,0.000139587,0.001407717,0.001609626,0.1098294,0.07536405,0.0006269059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6164579,0.3254635,0.005584756,0.0009533353,0.0004509781,0.001510978,0.0001085877,0.00002772358,0.04944222],"genre_scores_gemma":[0.950063,0.04960283,0.000275619,0.0000131705,0.00001021048,0.000006269097,8.11315e-7,0.00000773299,0.00002029367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3336051,"threshold_uncertainty_score":0.880481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3227994290342708,"score_gpt":0.2938395681112959,"score_spread":0.02895986092297487,"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."}}