{"id":"W2997065162","doi":"10.1111/caje.12416","title":"Monetary policy and efficiency in over‐the‐counter financial trade","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Economics; Monetary economics; Monetary policy; Welfare; Asset (computer security); Order (exchange); Inflation (cosmology); Financial market; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001819856,0.0004190688,0.0009988305,0.0006117664,0.000568922,0.003854001,0.000689539,0.001569713,0.003837188],"category_scores_gemma":[0.008489284,0.0003307049,0.0005384881,0.0005865582,0.002020228,0.002955118,0.001145061,0.001037849,0.0003845395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002195114,"about_ca_system_score_gemma":0.001040924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004742309,"about_ca_topic_score_gemma":0.001992499,"domain_scores_codex":[0.9993807,0.0003236508,0.00002955065,0.00007785291,0.0000596375,0.0001284912],"domain_scores_gemma":[0.9963784,0.001973373,0.00105434,0.0002498355,0.0001577739,0.0001863108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003663316,0.0001609006,0.00832093,0.000094068,0.00007648659,0.0004313344,0.000193808,0.4995005,0.00142939,0.4728817,0.0020895,0.01445506],"study_design_scores_gemma":[0.0001071378,0.0001183199,0.007130227,0.00007800142,0.00004900505,0.0001581765,0.0001993094,0.6249959,0.0004654212,0.3640706,0.002592706,0.00003519973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8603946,0.002634933,0.07928121,0.005599078,0.0001556927,0.00004249804,0.0002359353,0.0001636098,0.05149248],"genre_scores_gemma":[0.9963103,0.0003423293,0.0008485103,0.00008628811,0.00003711145,0.000008501011,0.0000224088,0.000009533882,0.002335022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004742309,"threshold_uncertainty_score":0.01592678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05296294658841418,"score_gpt":0.1657476950456664,"score_spread":0.1127847484572523,"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."}}