{"id":"W2923518429","doi":"10.34989/san-2017-10","title":"Has Liquidity in Canadian Government Bond Markets Deteriorated?","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Liquidity crisis; Shock (circulatory); Government bond; Liquidity risk; Monetary economics; Financial system; Bond; Financial crisis; Business; Market impact; Government (linguistics); Economics; Funding liquidity; Finance; Market microstructure; Order (exchange); Macroeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002728776,0.0001043929,0.0001716902,0.00003044958,0.0002157474,0.000114012,0.0002165264,0.0001037982,0.0006611713],"category_scores_gemma":[0.001781218,0.0001129419,0.00005836634,0.000446781,0.0002989041,0.0001244955,0.00002738491,0.0001560956,0.00006751903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008624321,"about_ca_system_score_gemma":0.001483218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9445519,"about_ca_topic_score_gemma":0.9894535,"domain_scores_codex":[0.9984494,0.00008079437,0.0001806243,0.0002437236,0.0003925597,0.0006528248],"domain_scores_gemma":[0.9984708,0.0001473359,0.0000385558,0.0001112049,0.00002486298,0.001207216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000696552,0.00048962,0.189121,0.0001647583,0.000227052,0.002751671,0.05556292,0.0004396924,0.0008963309,0.2964201,0.4346224,0.01860799],"study_design_scores_gemma":[0.000264882,0.00009490553,0.01923935,0.00002132011,0.00001920551,7.27701e-7,0.0006481986,0.007387231,0.0001210615,0.0007761669,0.9711074,0.0003195231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8187256,0.00007753599,0.00003531581,0.1581592,0.00008776134,0.0002039838,0.0005876677,0.00002557872,0.02209728],"genre_scores_gemma":[0.9950926,0.00002486663,0.0000762458,0.004276587,0.0002177664,0.000002284283,0.000001601668,0.000008516977,0.0002994809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.536485,"threshold_uncertainty_score":0.7239361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04597621950790334,"score_gpt":0.2915401526133035,"score_spread":0.2455639331054002,"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."}}