{"id":"W1572031536","doi":"","title":"The Role of Dealers in Providing Interday Liquidity in the Canadian-Dollar Market","year":2009,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Liberian dollar; Foreign exchange market; Monetary economics; Business; Financial market; Exchange rate; Foreign exchange; Market microstructure; Economics; Financial system; Financial economics; Order (exchange); Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001559547,0.0001068895,0.0002450015,0.002019331,0.002065053,0.004259634,0.0004783383,0.0007894359,0.003786211],"category_scores_gemma":[0.006338002,0.0001794198,0.0001704156,0.002097141,0.001047992,0.001678746,0.000574304,0.0005868467,0.0002919685],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01095748,"about_ca_system_score_gemma":0.009041201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6494028,"about_ca_topic_score_gemma":0.8244898,"domain_scores_codex":[0.9991751,0.0001431849,0.00002787631,0.00005093532,0.0003357282,0.0002670982],"domain_scores_gemma":[0.9969667,0.0007686552,0.000951215,0.00008421963,0.0007559244,0.0004733705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001624886,0.0002230188,0.5598029,0.0006602643,0.0002417491,0.002204009,0.01071018,0.005421057,0.004515709,0.1675966,0.03141139,0.2155883],"study_design_scores_gemma":[0.00008840903,0.00008466151,0.8961837,0.0003058852,0.0002760229,0.0004991993,0.01197871,0.005019469,0.001839379,0.01244988,0.07116795,0.0001068202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8512781,0.01679768,0.001097631,0.008951636,0.00005564166,0.00007484598,0.0006127068,0.00003869244,0.1210931],"genre_scores_gemma":[0.9880526,0.004994859,0.0003457514,0.0002956248,0.00004152418,0.000004166697,0.0001220352,0.000006014721,0.006137345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9890425,"threshold_uncertainty_score":0.7053239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343269613177799,"score_gpt":0.2103593039725857,"score_spread":0.1969266078408077,"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."}}