{"id":"W6957678297","doi":"10.6068/dp1556f6c52940","title":"TREND: International Monetary Fund. Direction of Trade Statistics: Exports | Country: Canada, 1980/1 - 2015/4. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-002-001","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandate; Balance of payments; Value (mathematics); Frontier; Exchange rate; Order (exchange); CONQUEST; Goods and services; Payment","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":[0.001475923,0.002730864,0.002453766,0.01297925,0.002293129,0.00582304,0.004818916,0.001391016,0.1061486],"category_scores_gemma":[0.01152788,0.001420745,0.001314723,0.03828014,0.000739752,0.003570104,0.002121537,0.003965037,0.1297773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01649877,"about_ca_system_score_gemma":0.04110527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8849546,"about_ca_topic_score_gemma":0.8393158,"domain_scores_codex":[0.9970042,0.0001178049,0.0002774108,0.0004412946,0.001545757,0.0006134417],"domain_scores_gemma":[0.9782114,0.0007065756,0.001393833,0.001028547,0.0176838,0.0009757831],"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":[0.00001357511,0.000004822672,0.0003745063,0.0001180868,0.000008528827,0.000004397051,0.000007575985,0.00005727319,0.00000699329,0.0002714803,0.9980539,0.001078706],"study_design_scores_gemma":[0.00006897747,0.000006150164,0.009088564,0.0002769657,0.00001723675,0.0000104974,0.0001178545,0.0001255486,0.0001051083,0.0004432823,0.9897071,0.00003274038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002975566,0.00002840136,0.00001551776,0.00005618989,0.00002621669,0.00001136245,0.9988143,0.00006649876,0.0009518425],"genre_scores_gemma":[0.000225148,0.0001052631,0.0001013406,0.00003163699,0.00001724714,0.00006237989,0.9972465,0.00006694646,0.002143722],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1150454,"threshold_uncertainty_score":0.3551024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198810231078296,"score_gpt":0.274436343554263,"score_spread":0.2545553204464334,"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."}}