{"id":"W6901679972","doi":"10.6068/dp15015b9602827","title":"TREND: International Monetary Fund. Balance of Payments: Net Errors and Omissions | Country: Canada | International Monetary Fund Subject: Net errors and omissions | Code: 409999 N A, 1999 - 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-006-014","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balance of payments; Currency; Current account; Position (finance); Capital account; National accounts; International finance; Net foreign assets; Investment (military); Capital (architecture)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002248558,0.002564492,0.002344205,0.009936724,0.002537878,0.006513582,0.004409973,0.001629052,0.1697036],"category_scores_gemma":[0.02655855,0.001293194,0.00116467,0.0292692,0.0007496704,0.003883506,0.002295435,0.003888316,0.1921643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01409825,"about_ca_system_score_gemma":0.03402777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7257435,"about_ca_topic_score_gemma":0.6900073,"domain_scores_codex":[0.9957814,0.0002744243,0.0005522811,0.0008371547,0.001999544,0.0005553063],"domain_scores_gemma":[0.9648225,0.002000202,0.002881517,0.002264372,0.02674566,0.001285711],"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":[0.000008168416,0.000002374063,0.0002207862,0.00008828008,0.000006733756,0.000002427634,0.000006131874,0.00003623415,0.000003919959,0.0002361011,0.9985165,0.0008723146],"study_design_scores_gemma":[0.00006177298,0.000004135033,0.005628488,0.0003605298,0.00001738238,0.0000111517,0.00009322417,0.0001656375,0.00006857929,0.0007220392,0.992834,0.00003312141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002853332,0.00003671369,0.00002888004,0.00009987898,0.00004323537,0.00001655815,0.9984243,0.0001103577,0.001211518],"genre_scores_gemma":[0.0002928434,0.0001192624,0.0001976931,0.00006487755,0.00003101341,0.000121734,0.9969903,0.0001376198,0.002044623],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2742565,"threshold_uncertainty_score":0.5677152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02853090383384581,"score_gpt":0.2858058538633786,"score_spread":0.2572749500295328,"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."}}