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Record W289525994 · doi:10.21236/ada610713

Environmental Assessment for the Construction and Operation of a Battalion Headquarters for the U.S. Army Priority Air Transport at Joint Base Andrews-Naval Air Facility Washington, Prince George's County, Maryland

2012· report· en· W289525994 on OpenAlexaboutno aff
Michelle Cannella, Jennifer Jarvis, Tim Lavallee, Bonnie Licking, Martha Martin, Samuel Pett, David Postlewaite, Jeff Strong, Linda Tafazoli

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)Joint (building)EngineeringArchaeologyOperations researchGeographyHistoryCivil engineeringArt history

Abstract

fetched live from OpenAlex

Abstract : The purpose of the Proposed Action is to provide a facility adequate to meet USAPAT's mission requirements. USAPAT currently occupies Building 1778, a temporary facility of approximately 6,900 square feet (SF) that was built in 1988 to accommodate a small detachment of Soldiers. USAPAT is now a much larger organization with more than 70 personnel assigned to JBA. The size, configuration, and condition of Building 1778 are inadequate to meet USAPAT's mission requirements. A larger, modern facility is needed so that the battalion can train properly and conduct its mission responses unhampered. The phone lines are analog, there are not enough LAN ports in the building, both male and female latrines are inadequate, and heating and air conditioning run off three separate units that are antiquated and prone to breaking down at seasonal changes. Under the No Action Alternative, no new facility would be constructed and the USAPAT functions at JBA would continue to operate out of Building 1778. This EA has been prepared to evaluate the Proposed Action and the No Action Alternative. All resources are considered in the impact analysis.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.128
Threshold uncertainty score0.255

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.027
GPT teacher head0.280
Teacher spread0.254 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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