{"id":"W4400989831","doi":"10.69554/cghq3530","title":"From LVTS to Lynx: Quantitative assessment of payment system transition in Canada","year":2023,"lang":"en","type":"article","venue":"Journal of payments strategy & systems","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Transition (genetics); Payment; Business; Chemistry; Finance","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":[0.001990889,0.0002700803,0.0003959019,0.002623043,0.002918102,0.003095746,0.001323649,0.0006381813,0.002977772],"category_scores_gemma":[0.009762852,0.0002666548,0.0005193407,0.005343391,0.001528154,0.001032112,0.001507665,0.001016321,0.0002377524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08651246,"about_ca_system_score_gemma":0.04162129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922093,"about_ca_topic_score_gemma":0.9921873,"domain_scores_codex":[0.9977643,0.0002214468,0.00008940676,0.0002565286,0.001099302,0.0005689561],"domain_scores_gemma":[0.9913496,0.001293512,0.0007241771,0.0002292395,0.005368615,0.001034845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001077625,0.0002547761,0.8467133,0.0002765927,0.0002072884,0.0006347115,0.01184924,0.04394911,0.003058099,0.02006983,0.01036269,0.06154674],"study_design_scores_gemma":[0.00003265225,0.0001118532,0.9279047,0.00008044141,0.000046347,0.00007029579,0.01259416,0.04652083,0.0007965789,0.000898376,0.01084977,0.00009396915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892651,0.0002188483,0.0005137221,0.0004123899,0.000007425319,0.00007642347,0.002461356,0.00005729774,0.006987367],"genre_scores_gemma":[0.9952223,0.0001321534,0.0006549407,0.00007466404,0.000002443337,0.00002622875,0.001591387,0.00001120581,0.002284636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08651246,"threshold_uncertainty_score":0.6276948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03869280128410448,"score_gpt":0.2799216999427939,"score_spread":0.2412288986586894,"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."}}