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Record W32214234 · doi:10.1038/s41583-020-0295-1

EISA Section 526: Impacts on DESC Supply

2009· article· en· W32214234 on OpenAlexaboutno aff
Michael E. Canes, Rachael G Jonassen

Bibliographic record

VenueNature reviews. Neuroscience · 2009
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleumCrude oilOil sandsWaste managementEngineeringEnergy independencePetroleum productPetroleum engineeringChemistryRenewable energy

Abstract

fetched live from OpenAlex

Abstract : Section 526 of the Energy Independence and Security Act of 2007 (EISA) limits federal agencies with respect to the purchase of petroleum products derived from unconventional or alternative fuel sources whose lifecycle greenhouse gas emissions exceed those from conventional crude oil. Petroleum products derived from oil sands crude are estimated to have lifecycle emissions exceeding those from conventional oil and under some interpretations of section 526, might be significantly restricted from government purchase. The Defense Energy Support Center (DESC) is the principal purchaser of petroleum products for the U.S. military. DESC wants to examine the impacts of section 526 on its domestic bulk purchases of military fuels, specifically those that might be derived from Canadian oil sands recovered crude (COSRC). We find that section 526 is not completely clear concerning what is covered nor the amounts involved. One interpretation is that the Department of Defense is only constrained from specifically contracting for products produced from oil sands crude. Another is that products supplied to DESC cannot be predominantly produced from oil sands crude. And a third is that products supplied to DESC can contain only incidental amounts of oil sands crude, DESC's bulk fuel purchases of fuels will be importantly affected by which of these interpretations governs. Refiners invest in certain types of processing equipment to handle large quantities of heavy crudes such as those from oil sands. Generally, refiners who process such crudes in significant quantities have catalytic hydrocracking or coking (CorC) capabilities. In this study, we examine which of DESC's suppliers pos-sessed such equipment in FY03?06 and which are planning to add it over the next few years. Taking into account CorC processing capability plus access to pipelines, pub-lished reports, and private communications, we could identify only four DESC suppliers that definitely have been processing COSRC.

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)0.003
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: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.707

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.335
Teacher spread0.313 · 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
Published2009
Admission routes1
Has abstractyes

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