{"id":"W6920339784","doi":"10.6068/dp15571d31bf328","title":"TREND: International Monetary Fund. Direction of Trade Statistics: Imports | Country: United Kingdom | Trading Partner: CANADA, 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":[0.001426794,0.002816505,0.002709658,0.009490697,0.001519086,0.006307113,0.003612069,0.001641626,0.1308315],"category_scores_gemma":[0.01166036,0.001489568,0.001260769,0.02854468,0.0006377472,0.0042303,0.001932157,0.003637051,0.2285705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008917809,"about_ca_system_score_gemma":0.01711989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5708897,"about_ca_topic_score_gemma":0.4397785,"domain_scores_codex":[0.9971147,0.0001442815,0.0003633178,0.0005358012,0.001374186,0.0004676777],"domain_scores_gemma":[0.9843799,0.0007337854,0.001405343,0.0009594162,0.01183671,0.0006847855],"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":[0.00001454584,0.000003507279,0.0002781127,0.0001091735,0.000007643087,0.000004059371,0.000005621499,0.00004669825,0.000007027189,0.0002354319,0.9982343,0.001053854],"study_design_scores_gemma":[0.00004909057,0.000006544292,0.006008363,0.0002145569,0.00001453432,0.00001014819,0.00008331012,0.00009494781,0.00009113087,0.0003499605,0.993053,0.00002446358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003438587,0.00004404912,0.00002239711,0.00008275973,0.00005232269,0.00001072065,0.9981798,0.00009642559,0.001477245],"genre_scores_gemma":[0.0002604699,0.0001396953,0.0001015976,0.00003921745,0.00002739287,0.00006319361,0.9961035,0.0001080869,0.003156795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4291103,"threshold_uncertainty_score":0.8632749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03419611752427112,"score_gpt":0.296621414766878,"score_spread":0.2624252972426069,"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."}}