MétaCan
Menu
Back to cohort
Record W2035446861 · doi:10.1260/0958-305x.25.1.133

Global Gas — Oversupply and Uncertain Future

2014· article· en· W2035446861 on OpenAlexaboutno aff
A.B. McKillop

Bibliographic record

VenueEnergy & Environment · 2014
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsNatural gasEconomic shortageBusinessInvestment (military)Liquefied natural gasNatural gas pricesGovernment (linguistics)Natural resource economicsFinanceElectricityEconomicsAgricultural economicsCommerceInternational tradeWaste managementEngineering

Abstract

fetched live from OpenAlex

SHOULD GAS STAY AT HOME? As recently as 2005-2007, North America was seen as threatened by major and enduring gas shortage. Prices were expected to stay as high as, or exceed present European gas import prices, typically $10 $12 per million BTU (July 2013) for pipeline gas, and often more than that for LNG imports. Asian LNG gas import prices for certain markets, especially Japan, can presently attain more than $15 per million BTU pricing this energy at close to $35 per 1000 kWh (MWh). Electricity produced from gas at this price will have a generating-fuel-only cost of around or above $70 per 1000 kWh. For September delivery, early August prices of US natural gas contracts traded on the Nymex are currently priced around $3.45 per million BTU. In 2005-2007 major investment was underway in the US to build terminals to import LNG, not to ship it overseas. Today, converting import terminals into export terminals, and building new LNG export terminals at typical costs ranging from $10 to $20 billion each, is the major planned or projected gas infrastructure program underway in the US and Canada. Due to the turnaround being recent, the high costs, and regulatory requirements including energy policy and environmental concerns, the US government has to date only approved two projects for LNG exports. Debate rages in Washington over whether to allow more, with calls for no or low exports from the USA coming from consumer groups and major industrial gas and energy users, such as Dow Chemical, who say the gas should stay on the continent to ensure cheap energy for domestic manufacturing and consumers.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.928
Threshold uncertainty score1.000

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)0.0010.000

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 head0.005
GPT teacher head0.215
Teacher spread0.210 · 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
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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueEnergy & EnvironmentSame topicGlobal Energy and Sustainability ResearchFrench-language works237,207