{"id":"W2917165027","doi":"10.34989/san-2017-23","title":"Do Liquidity Proxies Measure Liquidity in Canadian Bond Markets?","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Bond; Accounting liquidity; Liquidity crisis; Liquidity premium; Government bond; Benchmark (surveying); Measure (data warehouse); Economics; Monetary economics; Liquidity risk; Financial economics; Business; Finance; Geography; Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007579708,0.0002275141,0.0005291688,0.0002758027,0.0001323015,0.0001905187,0.0002050818,0.000207131,0.001402545],"category_scores_gemma":[0.001656537,0.0002521895,0.0001559574,0.0005515335,0.0001662081,0.0003014585,0.0000710417,0.0002718387,0.0001531051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003217771,"about_ca_system_score_gemma":0.0004987192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06205358,"about_ca_topic_score_gemma":0.09937873,"domain_scores_codex":[0.9979792,0.00004117093,0.0006005825,0.0005809624,0.0000800477,0.000718003],"domain_scores_gemma":[0.998941,0.0001240846,0.0001086431,0.0004009603,0.00008771752,0.000337566],"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":[0.00005626749,0.000274125,0.1317349,0.00007282761,0.00006311211,0.0001658691,0.0001824495,0.00005494571,0.00002852842,0.8640515,0.003002624,0.0003127668],"study_design_scores_gemma":[0.001470395,0.0004837763,0.4029212,0.0001980536,0.00005493447,0.00002507321,0.0006421274,0.02413882,0.0009278243,0.3807995,0.1863888,0.001949557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8975039,0.002647087,0.00009393289,0.003870921,0.0003371992,0.0001954741,0.000321792,0.00003152794,0.09499813],"genre_scores_gemma":[0.998377,0.00026105,0.0004642509,0.0002678061,0.0001317829,0.00001137154,0.00002375044,0.00002225821,0.0004407505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.483252,"threshold_uncertainty_score":0.999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04169392525973872,"score_gpt":0.2431171441386419,"score_spread":0.2014232188789031,"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."}}