{"id":"W6901746716","doi":"10.6068/dp14bade4e9693","title":"Trend 03/1995 - 12/2014. World Bank. Global Economic Monitor: Exports Merchandise, Customs, Current USD, Seasonally Adjusted | Country: Canada, 03/1995-12/2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 051-003-010.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Currency; Foreign-exchange reserves; Economic forecasting; Equity (law); Economic indicator; National bank; Current account; Order (exchange); Central bank; World Development Indicators","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":[0.001270586,0.001807798,0.001694783,0.005450422,0.00120475,0.003495773,0.003207294,0.001231623,0.1001036],"category_scores_gemma":[0.01046502,0.001243459,0.001112193,0.01885089,0.0003865355,0.002518114,0.001733448,0.002275802,0.0972969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005956951,"about_ca_system_score_gemma":0.01337889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6019807,"about_ca_topic_score_gemma":0.5247924,"domain_scores_codex":[0.9983723,0.0001330142,0.0002330379,0.0003097829,0.0006248358,0.0003270818],"domain_scores_gemma":[0.9903353,0.000609814,0.0007688023,0.0006865483,0.007065198,0.0005341772],"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":[0.00001594371,0.000005043859,0.0003743566,0.0001185594,0.000008508384,0.00000359986,0.000005543644,0.00004582011,0.00000827535,0.0001620205,0.9985392,0.0007130682],"study_design_scores_gemma":[0.0001427021,0.00000911751,0.01150597,0.000420246,0.00003124152,0.00001686199,0.0001379594,0.0002066251,0.00018779,0.0004982941,0.9868028,0.00004036746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003176511,0.00001528625,0.00001178637,0.00004746295,0.00001979362,0.000007525165,0.999319,0.00004275984,0.000504658],"genre_scores_gemma":[0.0001842585,0.00004455086,0.00009279318,0.00003346763,0.000008916028,0.00005872396,0.9985123,0.00003796653,0.00102688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3980193,"threshold_uncertainty_score":0.8007265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04300178003668162,"score_gpt":0.2868878175175295,"score_spread":0.2438860374808478,"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."}}