{"id":"W6938785165","doi":"10.6068/dp153fba8678948","title":"TREND: International Monetary Fund. Direction of Trade Statistics: Imports | Country: Brazil | Trading Partner: CANADA, 1960/1 - 2015/3. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-002-004","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; CONQUEST; Payment; Value (mathematics); Exchange rate; Balance of payments; Position (finance)","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":[0.001378661,0.002369689,0.002196092,0.008574728,0.00144815,0.005167081,0.003050077,0.001317056,0.1129862],"category_scores_gemma":[0.01137157,0.001212025,0.001168206,0.02487717,0.0005061641,0.00362269,0.001796319,0.003108243,0.1639983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007736146,"about_ca_system_score_gemma":0.0176213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6005523,"about_ca_topic_score_gemma":0.4562625,"domain_scores_codex":[0.9976132,0.0001280699,0.0002763541,0.0004521632,0.001153129,0.0003770583],"domain_scores_gemma":[0.9874969,0.0006000564,0.001166228,0.000807822,0.009346226,0.0005827273],"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":[0.00001190576,0.000003760224,0.0003794121,0.0001105118,0.000008304836,0.000004325508,0.000006433689,0.00004946733,0.000009152917,0.0003448148,0.997687,0.001384901],"study_design_scores_gemma":[0.00004643164,0.000005358133,0.00607971,0.0002246664,0.00001401529,0.00001137817,0.0000744827,0.000116735,0.00008900354,0.0004658042,0.9928505,0.00002183088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003375534,0.00003972605,0.00002351629,0.00009717715,0.00003880828,0.00001041162,0.9983274,0.00009500809,0.001334171],"genre_scores_gemma":[0.0003184563,0.000148772,0.000139888,0.0000498091,0.00002571399,0.00007259833,0.9964231,0.0001190832,0.002702516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3994477,"threshold_uncertainty_score":0.8036002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138274490678435,"score_gpt":0.2910115847323856,"score_spread":0.2696288398256013,"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."}}