{"id":"W2799452277","doi":"10.34989/sdp-2018-5","title":"A Policy Framework for E-Money: A Report on Bank of Canada Research","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Payment; Monetary policy; Central bank; Payment system; Electronic money; Financial stability; Business; Financial transaction; Face (sociological concept); Economics; Monetary economics; Finance; Financial system; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004775613,0.0005958853,0.001785085,0.001322281,0.0004358014,0.0002018074,0.001095988,0.0009865421,0.001325153],"category_scores_gemma":[0.01006724,0.0007925645,0.0006190473,0.0008830127,0.0006735706,0.0001402328,0.0006729803,0.001669955,0.0000369445],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00333702,"about_ca_system_score_gemma":0.009304762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1492445,"about_ca_topic_score_gemma":0.09248268,"domain_scores_codex":[0.9934419,0.0001661342,0.002685549,0.00217874,0.0003437678,0.001183939],"domain_scores_gemma":[0.9920743,0.001806768,0.002029879,0.003067687,0.0007097084,0.0003117301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005123337,0.0003877568,0.530727,0.0006419742,0.000271804,0.00005238999,0.0007676872,0.001191629,0.00000470955,0.4602287,0.005341512,0.0003335817],"study_design_scores_gemma":[0.001137219,0.0003055957,0.4567206,0.001007321,0.00004769297,0.0001347544,0.0004382536,0.002455355,0.0004405541,0.5023882,0.03286229,0.002062132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446694,0.002543257,0.003760898,0.002788166,0.005002738,0.001707154,0.001788789,0.00007842534,0.03766118],"genre_scores_gemma":[0.9887296,0.0001123496,0.007518212,0.0002128484,0.0009660713,0.0004188724,0.0001905066,0.0001275716,0.00172395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07400641,"threshold_uncertainty_score":0.9995878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04659108251217094,"score_gpt":0.3051530836480516,"score_spread":0.2585620011358807,"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."}}