{"id":"W4365399347","doi":"10.21314/jfmi.2022.008","title":"Quantifying the economic benefits of payments modernization: the case of Canada’s large-value payment system","year":2022,"lang":"en","type":"article","venue":"The Journal of Financial Market Infrastructures","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payment; Market liquidity; Transfer payment; Payment system; Welfare; Modernization theory; Value (mathematics); Business; Deadweight loss; Economics; Public economics; Microeconomics; Actuarial science; Finance; Computer science; Economic growth","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":[0.003434143,0.0004727266,0.0005400087,0.0007859183,0.001468988,0.002516044,0.001322891,0.001056734,0.003317262],"category_scores_gemma":[0.007617139,0.000223766,0.0007588855,0.001557517,0.001792954,0.00168213,0.001195054,0.001732507,0.0001062403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02349463,"about_ca_system_score_gemma":0.0123869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7998866,"about_ca_topic_score_gemma":0.7799534,"domain_scores_codex":[0.9981145,0.0006231561,0.00004020013,0.0002062842,0.0004059965,0.00060993],"domain_scores_gemma":[0.9951935,0.002256335,0.0007099718,0.0004138429,0.0009751013,0.0004512687],"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":[0.000700768,0.0003172493,0.08991405,0.0001909755,0.0002800901,0.0007013537,0.0007866086,0.6280133,0.00233837,0.2402887,0.004036555,0.03243205],"study_design_scores_gemma":[0.0002019054,0.0002750381,0.1029469,0.0001129597,0.0002345948,0.000202535,0.002397193,0.8248101,0.001635086,0.05024984,0.0167517,0.0001822034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497809,0.0008118147,0.02703736,0.002511463,0.00004316277,0.0001912744,0.001404565,0.00005531654,0.01816405],"genre_scores_gemma":[0.9909989,0.0001843065,0.006323291,0.00009399298,0.00001030883,0.00003165562,0.0002488468,0.000005290517,0.00210355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2001134,"threshold_uncertainty_score":0.4025838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800653273773535,"score_gpt":0.2118202325749782,"score_spread":0.1938136998372428,"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."}}