{"id":"W6976864217","doi":"10.6068/dp1566616f7d721","title":"TREND: International Monetary Fund. Direction of Trade Statistics: Exports | Country: United States | Trading Partner: CANADA, 1980/1 - 2015/4. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Database-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; Value (mathematics); Balance of payments; Frontier; CONQUEST; Exchange rate; Order (exchange); Payment; Point (geometry)","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":[0.001393407,0.002938212,0.002474698,0.01191508,0.00155054,0.006047894,0.0039479,0.001389282,0.1282352],"category_scores_gemma":[0.01066801,0.00133842,0.00106012,0.033895,0.0005846067,0.003980109,0.001786413,0.003952237,0.185593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009568573,"about_ca_system_score_gemma":0.02310651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6552841,"about_ca_topic_score_gemma":0.4996238,"domain_scores_codex":[0.9971361,0.0001111274,0.0003243755,0.0004327451,0.00155742,0.0004381668],"domain_scores_gemma":[0.9845627,0.00059981,0.001272707,0.0007294231,0.01214845,0.0006869258],"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":[0.00001557409,0.000004801831,0.0002798919,0.0001066494,0.000006872798,0.000004092964,0.000005722505,0.00004773821,0.000008390235,0.000302168,0.9977027,0.001515552],"study_design_scores_gemma":[0.00005519511,0.000007188456,0.006372733,0.0002165774,0.00001535289,0.00001055015,0.00008058529,0.0001051022,0.0001122784,0.000484564,0.992514,0.00002583412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004270268,0.00005663194,0.00003096549,0.0000927401,0.00006354136,0.00001662688,0.9970688,0.0001330865,0.002494853],"genre_scores_gemma":[0.000326038,0.0002179693,0.0001547546,0.0000466723,0.00003617548,0.00008357679,0.9944376,0.0001412742,0.004556009],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3447159,"threshold_uncertainty_score":0.6934919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805505541386683,"score_gpt":0.2843982947440342,"score_spread":0.2563432393301673,"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."}}