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Record W6920263075 · doi:10.6068/dp14bacbe044b52

Trend 2002 - 2014. United States Census Bureau. US Trade by Commodity Group: Imports | Country: Slovenia | Consumer Item: All Trade, 2002-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-035-003.

2015· other· en· W6920263075 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCensusLiberian dollarCommodityPopulationValue (mathematics)CONQUEST

Abstract

fetched live from OpenAlex

United States Census Bureau (2015). US Trade by Commodity Group: Imports | Country: Slovenia | Consumer Item: All Trade, 2002-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 001-035-003. Dataset: The dollar value of imports into the US, by 2-digit commodity and country of origin, defined as "the country where the merchandise was grown, mined, or manufactured." This dataset shows the dollar value of US exports and imports, by month, commodity, and county of origin and destination. The data in this release are a complete enumeration of documentation collected by the U.S. Customs and Border Protection at US ports and are not subject to sampling error. Canada import statistics are used to report U.S. exports to Canada. Data are shown for 2-digit Harmonized System (HS) commodities. By international agreement, most US trading partners use this classification system although some countries put additional digits after the harmonized root number. Please Note: The Census Bureau shows commodity data at the 10-digit level at a fee-based web site (http://www.usatradeonline.gov/). Category: International Relations and Trade Source: United States Census Bureau The United States Census Bureau is a bureau of the United States Department of Commerce. The major functions of the Census Bureau are authorized by Article 2, Section 2 of the United States Constitution, which provides that a census of population shall be taken every 10 years, and by Title 13 and Title 26 of the United States Code of Federal Regulations. The Census Bureau is responsible for numerous statistical programs, including census and surveys of households, governments, manufacturing and industries, and for United States foreign trade statistics. The first United States census was conducted in 1790 for the purposes of apportioning state representation in the House of Representatives of the United States and for the apportionment of taxes. http://www.census.gov Subject: Value, Imports, Commodities, International Trade

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.593
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0070.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0420.036

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 head0.052
GPT teacher head0.295
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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