{"id":"W6939242537","doi":"10.6068/dp16e6a46a69439","title":"TREND: International Monetary Fund. Direction of Trade Statistics: Goods, Value of Exports, Free on board (FOB) | Country: United States | Counterpart Country: AZERBAIJAN, REP. OF, BENIN, BERMUDA, BHUTAN, BOLIVIA, BOSNIA & HERZEGOVINA, BOTSWANA, BRAZIL, BRUNEI DARUSSALAM, BULGARIA, BURKINA FASO, BURUNDI, CAMBODIA, CAMEROON, CANADA, CAPE VERDE, CENTRAL AFRICAN REP., CHAD, CHILE, CHINA,P.R.: MAINLAND, 1948 - 2018. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 056-002-003","year":2019,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Frontier; International finance; Special drawing rights; Exchange rate; Monetary system; Payment; Monetary policy","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":[0.0008604933,0.001089594,0.00164296,0.0003010988,0.0002424941,0.0003988953,0.004369135,0.0006662345,0.01038552],"category_scores_gemma":[0.000430395,0.0007287334,0.00002924949,0.0005151392,0.0002214877,0.0008049164,0.001179566,0.0013246,0.0000319689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002060253,"about_ca_system_score_gemma":0.0003507828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9750018,"about_ca_topic_score_gemma":0.8905001,"domain_scores_codex":[0.9923224,0.0005720843,0.001878013,0.001954484,0.00209404,0.001178948],"domain_scores_gemma":[0.9914152,0.002811835,0.002310966,0.002889408,0.00001286345,0.0005597363],"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":[0.001074962,0.000444231,0.003439953,0.0002703595,0.0008851083,0.000238428,0.00006258494,0.0001620521,0.00008214947,0.0003715116,0.9918034,0.001165235],"study_design_scores_gemma":[0.0006002763,0.0004036645,0.005361454,0.000417843,0.0005724542,0.000173225,0.0003739765,0.002064883,0.000002446275,0.00001339479,0.9890193,0.0009971057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002203466,0.001744708,0.00002482575,0.0002908929,0.001829582,0.0009461119,0.9899944,0.00009513517,0.004854016],"genre_scores_gemma":[0.001011314,0.00456989,0.0004680059,0.0006170348,0.0008521376,0.00001292572,0.9913698,0.00007853605,0.001020298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08450166,"threshold_uncertainty_score":0.9995164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109107842551925,"score_gpt":0.2190808012049904,"score_spread":0.2079897227794711,"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."}}