{"id":"W3197039406","doi":"","title":"Predicting Payment Migration in Canada","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Payment; Settlement (finance); Collateral; Clearing; Counterfactual thinking; Payment system; Business; Value (mathematics); Database transaction; Actuarial science; Transaction cost; Economics; Finance; 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":[0.0007732058,0.0005025175,0.0004968934,0.002499869,0.002088461,0.002188778,0.001429664,0.000713406,0.003947099],"category_scores_gemma":[0.005571869,0.0002932621,0.0006386669,0.005205551,0.000624882,0.0007294422,0.001008178,0.001041454,0.0006750807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04531157,"about_ca_system_score_gemma":0.03042388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966611,"about_ca_topic_score_gemma":0.9961824,"domain_scores_codex":[0.9993885,0.0000517705,0.00002826436,0.0001087624,0.0001872599,0.0002355104],"domain_scores_gemma":[0.997547,0.0002357351,0.0002119631,0.00007591766,0.001616393,0.0003130449],"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":[0.0003951954,0.0001486333,0.8237094,0.0001044626,0.0001646251,0.0007089981,0.001282621,0.07210626,0.0005682098,0.006797083,0.04032567,0.05368885],"study_design_scores_gemma":[0.00005488405,0.00004509178,0.6995306,0.0001183145,0.00005707996,0.0001639526,0.00384042,0.2589274,0.0007002135,0.001474935,0.03499456,0.00009253345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707695,0.000618142,0.001257793,0.001739718,0.00004905751,0.00006145531,0.01741226,0.0001721237,0.00791997],"genre_scores_gemma":[0.9802876,0.0005198614,0.001368697,0.0001561041,0.00001110655,0.00001949154,0.01220687,0.00003292956,0.005397409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04531157,"threshold_uncertainty_score":0.32876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130108190596627,"score_gpt":0.1904247290325929,"score_spread":0.1791236471266266,"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."}}