{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001106839,0.0004426993,0.000690895,0.0001751046,0.0004343136,0.0002002235,0.001641938,0.0004170431,0.009753454],"category_scores_gemma":[0.00005008663,0.0003574938,0.0000021857,0.00009527469,0.0005060955,0.0004942517,0.0001665206,0.0003740424,0.000225899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056908,"about_ca_system_score_gemma":0.0004040196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7261891,"about_ca_topic_score_gemma":0.2392456,"domain_scores_codex":[0.9961067,0.0006314595,0.000833822,0.0009032947,0.0009298036,0.0005949498],"domain_scores_gemma":[0.9968205,0.0007456039,0.0008301875,0.001250455,0.000009466582,0.0003437898],"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":[0.00003771851,0.0001249326,0.0001201486,0.0001750055,0.0003542396,0.00003066236,0.0001696485,6.151342e-7,0.000001854642,0.001818651,0.9955083,0.001658184],"study_design_scores_gemma":[0.0004138977,0.00004234045,0.00004769086,0.00005819342,0.0002260902,0.00001902042,0.0008080417,0.0002214838,3.318664e-8,0.000003932911,0.9977182,0.0004410502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001069459,0.002543469,0.00002242212,0.0001374621,0.002289977,0.0005151667,0.9878696,0.0001258211,0.006494984],"genre_scores_gemma":[0.0001093184,0.01185766,0.0001447822,0.0001595331,0.001811623,0.00001458399,0.9837098,0.00009708069,0.002095663],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4869435,"threshold_uncertainty_score":0.9998877,"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."}}