{"id":"W6907729551","doi":"10.25318/1010000401-eng","title":"Chartered banks, total claims and liabilities booked worldwide vis-à-vis non-residents, 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":"Table (database); Payment; Data collection; Life table","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":[0.0005114882,0.001331817,0.001075503,0.007782569,0.001370628,0.003516157,0.001791298,0.0008124739,0.042872],"category_scores_gemma":[0.006720067,0.0006784378,0.0007858793,0.02465398,0.0003782924,0.00107153,0.0008642561,0.001551198,0.02924378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01380277,"about_ca_system_score_gemma":0.02771394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9551113,"about_ca_topic_score_gemma":0.9551372,"domain_scores_codex":[0.9988087,0.00004691386,0.0001213982,0.0002460503,0.0004657302,0.0003111578],"domain_scores_gemma":[0.9938027,0.000498632,0.0006175071,0.0003652783,0.004241941,0.0004740316],"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":[0.00003662005,0.00001290878,0.004221336,0.0002106127,0.00002492973,0.00001619402,0.00003249961,0.000319829,0.0000232507,0.0005967593,0.9924278,0.002077301],"study_design_scores_gemma":[0.0001312736,0.00001264808,0.05805664,0.000374581,0.00005335333,0.00005702532,0.0003527421,0.0007590495,0.0003193699,0.0004882784,0.9393409,0.0000540252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003010363,0.00005744835,0.00001322594,0.00004111247,0.000008537437,0.000003953954,0.9987509,0.0000416911,0.0007820702],"genre_scores_gemma":[0.001632177,0.0001620632,0.00008945433,0.00002865003,0.00000697527,0.00002271448,0.9952808,0.00002689405,0.002750212],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04488868,"threshold_uncertainty_score":0.1434212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005989001759965168,"score_gpt":0.2426490991829677,"score_spread":0.2366600974230025,"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."}}