MétaCan
Menu
Back to cohort
Record W6996181376

Reporting of Navy Sponsor Owned Material Stored at the Naval Air Systems Command Activities

2007· article· en· W6996181376 on OpenAlexaboutno aff

Bibliographic record

VenueDefense Technical Information Center (DTIC) · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsnot available
Fundersnot available
KeywordsNavyQuarter (Canadian coin)Command and controlControl (management)Aviation
DOInot available

Abstract

fetched live from OpenAlex

Who Should Read This Report and Why? Navy personnel responsible for reporting the amount and value of Sponsor Owned Material stored at Navy facilities should read this report. It discusses the financial reporting and control of Sponsor Owned Material stored by Naval Air Systems Command activities. Background. The Department of the Navy reported $58.8 billion of Operating Materials and Supplies on its first quarter FY 2006 financial statements. This included a sub-category of supplies and materials termed Sponsor Owned Material. The Navy defines Sponsor Owned Material as material needed to support program manager mission requirements. The material is used for item fabrication, assembly, testing, manufacture, repair, or research and development. For the fourth quarter FY 2006, the Naval Air Systems Command reported $4.67 billion of Sponsor Owned Material.

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)0.009
metaresearch head score (Gemma)0.053
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: Other
Teacher disagreement score0.119
Threshold uncertainty score0.400

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.053
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0020.001
Scholarly communication0.0080.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1190.077

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 head0.016
GPT teacher head0.275
Teacher spread0.259 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueDefense Technical Information Center (DTIC)Same topicGut microbiota and healthFrench-language works237,207