{"id":"W6888978458","doi":"10.25318/1010011601-eng","title":"Chartered bank assets and liabilities and monetary aggregates, monthly average, seasonally adjusted, Bank of Canada","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Currency; Liberian dollar; Table (database); Bank rate; Official cash rate; Monetary base; Us dollar","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":[0.0005072999,0.001317172,0.001095907,0.00586302,0.0013428,0.002790267,0.00186593,0.0008379898,0.04799575],"category_scores_gemma":[0.006037246,0.0005910863,0.0007328553,0.01871589,0.0003702526,0.001001671,0.0008506941,0.001624962,0.03568374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01155255,"about_ca_system_score_gemma":0.02219952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9391348,"about_ca_topic_score_gemma":0.9448948,"domain_scores_codex":[0.9990338,0.00004491507,0.00009998294,0.0002045545,0.0003751144,0.0002415148],"domain_scores_gemma":[0.994741,0.0003476343,0.0004543187,0.0003284782,0.003781037,0.0003476227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002709421,0.00001182466,0.002936497,0.0001593329,0.00001719392,0.00001407523,0.00002085267,0.0002575812,0.00002161598,0.0005353867,0.9942791,0.001719351],"study_design_scores_gemma":[0.0001213779,0.00001015334,0.04066866,0.0003263943,0.00003692805,0.00004451939,0.0002379812,0.0007831021,0.0002373782,0.0004700975,0.9570191,0.00004442689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002068289,0.00004765086,0.00001685957,0.00003817428,0.000009663491,0.000004969806,0.998941,0.00003996901,0.0006949084],"genre_scores_gemma":[0.001161212,0.0001166667,0.0001117152,0.0000255897,0.000006803728,0.00002651154,0.9964824,0.00002311405,0.002046106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06086516,"threshold_uncertainty_score":0.1605617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007178898892181913,"score_gpt":0.2229306651672854,"score_spread":0.2157517662751035,"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."}}