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Record W7077909283 · doi:10.29227/im-2019-02-82

Forecasts of Production, Consumption, and the Trade Balance of Primary Energy and Fuels in the USA

2019· article· en· W7077909283 on OpenAlexaboutno aff

Bibliographic record

VenueInżynieria Mineralna · 2019
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsPrimary energyFossil fuelEnergy securityCoalRenewable energyEnergy policyBalance of tradeEuropean unionEmissions tradingBalance (ability)

Abstract

fetched live from OpenAlex

The article analyzes various forecasts of production, consumption, and the trade balance of primary energy and secondary fuels first of all in the United States and partly in Canada. The combined analysis of the US in Canadian economies is well-founded as these economies are closely related. However, the main emphasis was on US economy. The analysis covers different scenarios of fuel and energy demand, including the currently implemented baseline scenario, the new policies scenario, assuming that countries comply with the emission limits set at the COP21 in Paris, and the environmental scenario, the strictest from the point of view of environmental pro - tection, aimed at restricting global warming to less than 2°C above pre-industrial temperatures. The analyzed values are different for different scenarios, as shown in the figures. Most attention was paid to fossil fuels, that is, oil, natural gas, bituminous coal, and lignite. The forecasts of production, consumption, and import of individual carriers are presented. It was shown that the United States policy places greatest emphasis on the energy security and self-sufficiency. As of today, the United States is one of the most hydrocarbon-rich countries, while low electricity prices are the reason why American products are competitive compared to products from the European Union and China. Reducing the use of coal in the U.S. economy in favor of renewable energy sources will result in an oversupply of this raw material in the international markets, which, in turn, will lead to a decrease in prices. The increasing production of oil and gas will have a similar effect.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score0.174

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.205
Teacher spread0.190 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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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