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Record W2619304673

Identity and distribution of residues of energetic compounds at military live-fire training ranges

2005· article· en· W2619304673 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUS Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core) · 2005
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsnot available
Fundersnot available
KeywordsTraining (meteorology)Identity (music)Environmental scienceAeronauticsGeographyEngineeringMeteorologyArtAesthetics
DOInot available

Abstract

fetched live from OpenAlex

Environmental stewardship of military training ranges is an important objective of the Department of Defense. Therefore, an understanding of the explosives residues resulting from military training with various weapon systems is critical to range managers. A series of field sampling experiments was conducted at 27 military firing ranges in the United States and Canada to provide information on the identity and distribution of energetic munitions constituents. Different types of ranges were studied, including hand grenade, antitank rocket, artillery, bombing, and demolition ranges. Both firing points and impact areas were studied. Energetic compounds (explosives and propellants) were determined and linked to the type of munition used and the major mechanisms of deposition. At impact areas, the largest deposition of residues of energetic compounds is due to low-order detonations, or, in some cases, munitions that split open upon impact. The major residue deposited and its distribution varies for different types of ranges based upon the composition of the high explosive present in the warheads of the rounds fired at that type of range. For antitank range impact areas, the major residue present is HMX from the octol explosive used in the M72 66-mm LAW rockets. At artillery range impact areas, the major residues are TNT and/or RDX from the military-grade TNT and Composition B used in warheads of artillery and mortar rounds. Residues are very heterogeneously distributed at artillery range impact areas and can be described as randomly distributed point sources. RDX and TNT are the major residues at hand grenade ranges and their distribution is less heterogeneous due to the large number of individual detonations in a smaller area that further disperses the residues over the surface and at shallow depths. TNT is the major energetic compound detected at bombing ranges due to its presence in tritonal, the most common explosive used in bombs.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.080
GPT teacher head0.313
Teacher spread0.233 · 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