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Record W6939242537 · doi:10.6068/dp16e6a46a69439

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

2019· other· en· W6939242537 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2019
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsValue (mathematics)FrontierInternational financeSpecial drawing rightsExchange rateMonetary systemPaymentMonetary policy

Abstract

fetched live from OpenAlex

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 Dataset: Shows "free on board" (f.o.b.) value of exports for each country, by trading partner. The f.o.b. price is the market value of the goods at the point of uniform valuation, defined as the customs frontier of the economy from which they are exported. Provides statistics on the value of merchandise exports and imports disaggregated according to a country’s trading partners. Reported data are supplemented by estimates when such data are not available or current. http://data.imf.org/?sk=9D6028D4-F14A-464C-A2F2-59B2CD424B85 Category: International Relations and Trade Subject: International Trade, Exports Source: International Monetary Fund Headquartered in Washington, DC, the International Monetary Fund (IMF) was conceived at a United Nations conference convened in Bretton Woods, New Hampshire, United States, in July 1944. The 44 governments represented at that conference sought to build a framework for economic cooperation that would avoid a repetition of the vicious circle of competitive devaluations that had contributed to the Great Depression of the 1930s. As of 2015, the IMF has 188 member countries. Its primary purpose is to ensure the stability of the international monetary system, specifically the system of exchange rates and international payments that enables countries (and their citizens) to transact with one other. This system is essential for promoting sustainable economic growth, increasing living standards, and reducing poverty. The Fund’s mandate has recently been clarified and updated to cover the full range of macroeconomic and financial sector issues that bear on global stability. The IMF is a specialized independent agency of the United Nations but has its own charter, governing structure, and finances. Its members are represented through a quota system broadly based on their relative size in the global economy. http://www.imf.org/

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.085
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.219
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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