{"id":"W6976906135","doi":"10.6068/dp15571d6cac830","title":"TREND: International Monetary Fund. Direction of Trade Statistics: Imports | Country: United Kingdom | Trading Partner: FRANCE, 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":"","field":"","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":[0.001503306,0.002823569,0.002394403,0.007936064,0.0008709801,0.005403621,0.002805352,0.001760403,0.1527356],"category_scores_gemma":[0.01133553,0.001371845,0.001217423,0.01969346,0.0004715543,0.004982326,0.001905894,0.003311928,0.3082471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003170422,"about_ca_system_score_gemma":0.004262556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06540246,"about_ca_topic_score_gemma":0.03615868,"domain_scores_codex":[0.9975407,0.0001969373,0.0004239169,0.0005552581,0.0009606982,0.0003224516],"domain_scores_gemma":[0.9905635,0.0008060364,0.001584911,0.0008084245,0.005804246,0.000432867],"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":[0.00002037155,0.000004849885,0.0003369783,0.0001552058,0.000009078821,0.000005683559,0.000006787335,0.00005388504,0.00001214123,0.0003020615,0.9976562,0.001436728],"study_design_scores_gemma":[0.00005859289,0.00001146633,0.00535331,0.0002214244,0.00001394272,0.00001438124,0.00007324426,0.00008830716,0.0000936677,0.0004574258,0.9935936,0.00002073035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005902533,0.00006586089,0.00004053283,0.0001176796,0.00008791428,0.00001419139,0.9975038,0.0001361621,0.001974826],"genre_scores_gemma":[0.0003730001,0.0001620723,0.0001434154,0.00005572522,0.00004903923,0.0001073805,0.9953576,0.0001421912,0.00360953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1527356,"threshold_uncertainty_score":0.5109514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03424819987468737,"score_gpt":0.3084962268162265,"score_spread":0.2742480269415392,"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."}}