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Record W2567754859

Energy Outlook to 2011: High Energy Prices to Ease in the Medium Term

2006· article· en· W2567754859 on OpenAlexaboutno aff
Stuart Kinsella, William Mollard, Lachlan Smirl, Robert Curtotti, Jammie Penm

Bibliographic record

VenueAustralian Commodities: Forecasts and Issues · 2006
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsCoalProduction (economics)Medium termDrawdown (hydrology)Term (time)Consumption (sociology)Natural resource economicsAgricultural economicsEnvironmental scienceMonetary economicsMacroeconomicsGeography
DOInot available

Abstract

fetched live from OpenAlex

World oil prices are forecast to remain high in the next few years, reflecting continued growth in consumption and relatively modest increases in production. Toward the end of the outlook period, global oil prices are projected to decline more significantly in real terms, mainly as a result of substantially higher world production and production capacity by that time. World U3O8 prices are expected to increase in 2006, supported by further reductions in stocks of uranium. From 2007, a substantial forecast increase in U3O8 production, particularly in Canada and Kazakhstan, is expected to slow the rate of drawdown in uranium stocks. As a result, real U3O8 prices are expected to ease slowly toward 2011. Downward pressure is expected on thermal coal prices in the short term, as exports from major producers are forecast to increase. Over the medium term, production capacity expansions will support growth in Australian thermal coal exports.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.005

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 head0.019
GPT teacher head0.275
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2006
Admission routes1
Has abstractyes

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