{"id":"W6976771511","doi":"10.6068/dp15571bfc2e220","title":"TREND: International Monetary Fund. Direction of Trade Statistics: Imports | Country: United Kingdom | Trading Partner: NETHERLANDS, 1980/1 - 2015/4. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-002-004","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"Health, Education, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandate; CONQUEST; Payment; Value (mathematics); Exchange rate; Balance of payments; Quarter (Canadian coin); 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":[0.001491676,0.002789758,0.002330575,0.007583232,0.0008313812,0.005273026,0.002910235,0.001704648,0.1538648],"category_scores_gemma":[0.01125456,0.001404549,0.001175696,0.02037245,0.0004623602,0.005039073,0.001930716,0.003343795,0.3005093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00302742,"about_ca_system_score_gemma":0.004461856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06056393,"about_ca_topic_score_gemma":0.03306346,"domain_scores_codex":[0.9976177,0.0001847352,0.0004066269,0.0005338935,0.0009539571,0.0003032025],"domain_scores_gemma":[0.9915226,0.0007541029,0.001496928,0.0007431441,0.005074488,0.0004086665],"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":[0.00002103524,0.000005227932,0.0003260388,0.0001627549,0.000008926134,0.000005988032,0.000007029091,0.00005960045,0.00001359415,0.0003399471,0.9974937,0.00155618],"study_design_scores_gemma":[0.00005963313,0.00001035198,0.004673623,0.0002273755,0.00001332036,0.00001412982,0.00007039016,0.00009158938,0.00009920017,0.0005234259,0.9941972,0.00001966841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005685646,0.00006277688,0.00004315934,0.0001128906,0.00008899807,0.00001421239,0.9974064,0.0001217636,0.002092951],"genre_scores_gemma":[0.0003551619,0.0001636737,0.0001466918,0.00005093765,0.00004693697,0.00011495,0.9954182,0.0001445579,0.003558871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1538648,"threshold_uncertainty_score":0.514729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05603680788643454,"score_gpt":0.3571430698297297,"score_spread":0.3011062619432952,"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."}}