{"id":"W2987769830","doi":"10.34989/san-2019-29","title":"Cashless Bank Branches in Canada","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Cheque; Cash; Business; Financial system; Bank account; Commerce; Finance; Payment; Computer science; Computer security","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":[0.0008774574,0.0001949242,0.0003707994,0.00168479,0.00991374,0.004818283,0.001748655,0.001305232,0.01337042],"category_scores_gemma":[0.003951363,0.0004145295,0.0003029659,0.004209873,0.002068786,0.0008535957,0.001941599,0.002308224,0.0007392904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1074182,"about_ca_system_score_gemma":0.2036153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968163,"about_ca_topic_score_gemma":0.9991267,"domain_scores_codex":[0.9973556,0.00007548492,0.00006648561,0.0002767572,0.0009853153,0.001240476],"domain_scores_gemma":[0.9912657,0.0004443747,0.0006522309,0.0001370527,0.002939706,0.00456088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009236353,0.0004061413,0.4787441,0.0005119452,0.0001325654,0.005310434,0.0151928,0.001852899,0.002712889,0.1362892,0.1643351,0.1935883],"study_design_scores_gemma":[0.0001510864,0.0001045258,0.6987108,0.0005487327,0.00009835083,0.0006721746,0.02173497,0.003012263,0.000890839,0.003731589,0.2701999,0.0001447155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8327362,0.006697916,0.0005003865,0.03027103,0.0003034257,0.0001630203,0.006835707,0.0001428701,0.1223494],"genre_scores_gemma":[0.9380981,0.003081379,0.0004882868,0.00361394,0.00004837312,0.00002879255,0.001193337,0.00003122828,0.05341658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1074182,"threshold_uncertainty_score":0.7793771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02532461382654082,"score_gpt":0.2296023480214488,"score_spread":0.2042777341949079,"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."}}