{"id":"W3149254007","doi":"10.21314/jfmi.2021.003","title":"Predicting payment migration in Canada","year":2021,"lang":"en","type":"article","venue":"The Journal of Financial Market Infrastructures","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Settlement (finance); Payment; Collateral; Clearing; Counterfactual thinking; Payment system; Business; Value (mathematics); Database transaction; Actuarial science; Transaction cost; Finance; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008476175,0.0004180745,0.0003547032,0.001739525,0.001893557,0.001708775,0.001343903,0.0006432407,0.004124726],"category_scores_gemma":[0.005002346,0.0002924184,0.0005739136,0.004055495,0.0005851692,0.0007926974,0.0009303591,0.0009963395,0.0006380651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.039305,"about_ca_system_score_gemma":0.02746316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942667,"about_ca_topic_score_gemma":0.9949217,"domain_scores_codex":[0.999333,0.00006584507,0.000032302,0.0001066448,0.0001987408,0.000263521],"domain_scores_gemma":[0.9975914,0.0002963583,0.0002510684,0.00009587923,0.001436748,0.0003286481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003570311,0.0001712255,0.8779172,0.0001054496,0.0001056799,0.0005463943,0.001684371,0.04144901,0.0006302067,0.006723102,0.02861092,0.04169945],"study_design_scores_gemma":[0.00005337639,0.00005906256,0.7152735,0.000106754,0.00004552164,0.0001598279,0.006237396,0.2416808,0.0008172305,0.001419346,0.03405362,0.00009358294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762729,0.0003027495,0.001280579,0.001416568,0.00002933103,0.00006746339,0.01359552,0.00009833443,0.006936579],"genre_scores_gemma":[0.9834009,0.0003570768,0.001666968,0.0001632329,0.000006927113,0.00002616196,0.009382808,0.00002200714,0.004974015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.039305,"threshold_uncertainty_score":0.2851791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003364132960477012,"score_gpt":0.1776692560830296,"score_spread":0.1743051231225526,"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."}}