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Record W2004229539 · doi:10.2118/0207-010-twa

Energy for the Future

2007· article· en· W2004229539 on OpenAlexaboutno aff
Loris Tealdi, Rita Onyige

Bibliographic record

VenueThe Way Ahead · 2007
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleum industryGovernment (linguistics)Work (physics)Fossil fuelBusinessService (business)Oil sandsMarketingEngineeringGeographyWaste managementCartographyAsphalt

Abstract

fetched live from OpenAlex

Forum - Young professionals discuss the future of energy. A total of 480 readers responded fully to the survey. As shown in Fig. 1a, the company category of the respondents included integrated (major) oil and gas company (31%), service/manufacturing company (23%), independent oil and gas company (21%), national oil and gas company (11%), consultant (6%), academia (4%), government (2%), and others (2%). Concerning work experience, almost two-thirds of the respondents have less than 5 years' experience. The male/female ratio was 85/15. Most respondents were younger than 35. The answers strongly correlated with the primary work location, the data on which are shown in Fig. 1b. Oil and Gas Will oil and gas remain the major energy source for the 21st century? As shown in Fig. 2, 78% of the respondents answered affirmatively. Some points to support this belief includeNew exploration along with improved oil-recovery technology will increase oil recovery to almost 80%, making oil and gas the main energy source until 2070 to 2080.As new, cost-effective ways of storing and transporting natural gas develop, we will help sustain energy supply through the ability to tap into previously uneconomic resources that used to be flared off.Deepwater opportunities in the Gulf of Mexico and west Africa, combined with Canadian tar sands and enhanced oil recovery in the Middle East, will keep oil in the USD 60/bbl range. This is high enough to support these types of projects, but not high enough to make alternatives competitive.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.905
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.015
GPT teacher head0.287
Teacher spread0.272 · 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 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

Citations1
Published2007
Admission routes1
Has abstractyes

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