{"id":"W2146914794","doi":"10.2139/ssrn.966227","title":"Bond Liquidity Premia","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Bank of Canada","funders":"","keywords":"Bond; Market liquidity; Financial system; Business; Economics; Monetary economics; Finance","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":[0.0009203259,0.0002236726,0.0002802679,0.001106271,0.0003737848,0.002326887,0.0002076091,0.0005215993,0.01499536],"category_scores_gemma":[0.004189893,0.0002125207,0.0002679811,0.0006440762,0.0002936916,0.001072829,0.000372898,0.00100391,0.002580275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005042561,"about_ca_system_score_gemma":0.0003820773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005376703,"about_ca_topic_score_gemma":0.0008309354,"domain_scores_codex":[0.9998092,0.00002051407,0.00001421933,0.00005182189,0.00005551794,0.00004873363],"domain_scores_gemma":[0.9980522,0.0003860675,0.0009267948,0.0001632097,0.000256691,0.0002150041],"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":[0.002250138,0.0006836008,0.2969113,0.0002793118,0.000478078,0.001062437,0.00102545,0.01510825,0.03978321,0.4128255,0.03259018,0.1970025],"study_design_scores_gemma":[0.0002616003,0.0008566933,0.7530448,0.0001265383,0.0003256577,0.001466609,0.0005495591,0.02625584,0.02234148,0.1591918,0.03545027,0.0001291792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9216902,0.0009382071,0.004625265,0.001207345,0.00005888407,0.00005495627,0.001880654,0.0003148282,0.06922951],"genre_scores_gemma":[0.9891745,0.0002579897,0.0004575916,0.000047966,0.00004678436,0.000009378179,0.0005036818,0.00001751169,0.009484614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01499536,"threshold_uncertainty_score":0.05016452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321879126226161,"score_gpt":0.2164291247801879,"score_spread":0.2032103335179263,"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."}}