{"id":"W3039004083","doi":"10.34989/san-2020-14","title":"COVID-19 and bond market liquidity: alert, isolation and recovery","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Humanities; Coronavirus disease 2019 (COVID-19); Political science; Reprise; Philosophy; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004333431,0.0001419179,0.0003207967,0.00126951,0.002644677,0.008170464,0.0008702741,0.002571812,0.009587349],"category_scores_gemma":[0.02277134,0.000226435,0.0002559542,0.001224664,0.003559905,0.002632685,0.004374988,0.004300499,0.000726886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008343887,"about_ca_system_score_gemma":0.007280146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05462812,"about_ca_topic_score_gemma":0.0578301,"domain_scores_codex":[0.9968592,0.0008540255,0.0001248661,0.0002088941,0.0008236826,0.0011294],"domain_scores_gemma":[0.987767,0.002588608,0.003277754,0.0004741518,0.002416576,0.003475973],"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":[0.002210482,0.0009930242,0.248317,0.000212604,0.0001244746,0.00201108,0.01610311,0.002663339,0.002765413,0.4324144,0.1077116,0.1844736],"study_design_scores_gemma":[0.0004804442,0.0007610542,0.4761723,0.0006615029,0.0001325327,0.00101097,0.04276915,0.01065463,0.003866076,0.1966564,0.2664984,0.0003366311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6189356,0.004416906,0.003060489,0.1244623,0.000557546,0.0001061351,0.0004495936,0.0001793066,0.2478321],"genre_scores_gemma":[0.9897432,0.0005885337,0.0002719107,0.002555362,0.0001494677,0.00001314817,0.00008846449,0.00001962621,0.006570313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05462812,"threshold_uncertainty_score":0.1086203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05389744662863618,"score_gpt":0.3362413935291534,"score_spread":0.2823439469005172,"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."}}