{"id":"W7095989073","doi":"","title":"An Empirical Analysis of Liquidity and . . . Government Of Canada Bonds","year":2003,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bond; Market liquidity; Government (linguistics); Liquidity crisis; Empirical research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001105338,0.0003008497,0.0004317605,0.001576653,0.002550027,0.003075228,0.001120196,0.001157699,0.005824389],"category_scores_gemma":[0.013078,0.0002440242,0.0004790903,0.003952344,0.001005615,0.0008920854,0.0006388671,0.001620707,0.0004083585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03198574,"about_ca_system_score_gemma":0.02525894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9853585,"about_ca_topic_score_gemma":0.9891307,"domain_scores_codex":[0.999431,0.00006060836,0.0000238746,0.00007644865,0.0001647153,0.0002433034],"domain_scores_gemma":[0.9881236,0.003759356,0.002543353,0.000387533,0.003476124,0.001710046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006425259,0.0002332636,0.9418729,0.0000676819,0.0001883894,0.0004492468,0.002209002,0.006668882,0.000427027,0.01545042,0.0125321,0.01925855],"study_design_scores_gemma":[0.00008337467,0.00007815209,0.9626341,0.00007431872,0.0002503492,0.0001375012,0.004768666,0.01703184,0.0005891749,0.001973975,0.01232104,0.00005762145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892619,0.001435302,0.0001308175,0.001522392,0.00001794905,0.00001628857,0.001908911,0.00001734063,0.005689294],"genre_scores_gemma":[0.9936226,0.0006341046,0.00007290019,0.0001050592,0.00001852761,0.000004811463,0.001159369,0.000006033327,0.004376711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03198574,"threshold_uncertainty_score":0.2320738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468560824209589,"score_gpt":0.2214355857508346,"score_spread":0.1967499775087387,"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."}}