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Record W1974309141 · doi:10.1002/rem.20146

Formerly utilized sites remedial action program “completed” sites: Lessons for long‐term stewardship

2007· article· en· W1974309141 on OpenAlexfundno aff
John Abbotts, Tim K. Takaro, Charles Weems

Bibliographic record

VenueRemediation Journal · 2007
Typearticle
Languageen
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsnot available
FundersSimon Fraser UniversityUniversity of WashingtonU.S. Department of Energy
KeywordsRemedial actionStewardship (theology)MemorandumCommissionRemedial educationMemorandum of understandingEnvironmental planningTerm (time)EngineeringEnvironmental remediationPolitical scienceBusinessEnvironmental resource managementEnvironmental scienceLawPolitics

Abstract

fetched live from OpenAlex

Abstract The Formerly Utilized Sites Remedial Action Program (FUSRAP) covers inactive commercial, federal, and university facilities that once supported activities of the Manhattan Project or Atomic Energy Commission. Current responsibilities, established by a Memorandum of Understanding (MOU), are split between the U.S. Department of Energy (US DOE) and the U.S. Army Corps of Engineers. The MOU distinguishes between facilities remediated before 1997 (“completed” sites) and those where remediation remained to be completed at that time. This article evaluates activities conducted at completed sites with regard to considerations for long‐term stewardship, which is defined by the US DOE as all activities necessary to protect human health and the environment after remediation is considered complete. Experience with these FUSRAP sites provides “lessons learned” for the requirements of satisfactory long‐term stewardship. © 2007 Wiley Periodicals, Inc.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.115
GPT teacher head0.384
Teacher spread0.270 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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