MétaCan
Menu
Back to cohort
Record W2011029323 · doi:10.2514/6.2008-1662

PC Based Infrared Scene Generation Development

2008· article· en· W2011029323 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInfrared Target Detection Methodologies
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsInfraredComputer scienceComputer visionArtificial intelligenceRemote sensingGeologyOpticsPhysics

Abstract

fetched live from OpenAlex

The U.S. Air Force Electronic Warfare Evaluation Simulator (AFEWES) is a government-owned, contractor-operated electronic warfare test facility located at Air Force Plant 4, in Fort Worth, Texas. The AFEWES is a Test and Evaluation (T&E) resource of the Air Force Flight Test Center (AFFTC), 412 Electronic Warfare Group (EWG), Edwards Air Force Base, California. AFEWES' mission is to perform effectiveness testing of Department of Defense (DoD) and allied electronic countermeasure techniques to enhance aircraft and aircrew survivability in combat. This paper describes the multi-service and contractor team that successfully defined, designed, developed, tested and implemented state of the art infrared PC based scene generator to be used by DoD. The paper also highlights: Team requirements and low cost solution, Leveraging government owned assets and developing partnerships across DoD.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.318
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.097
GPT teacher head0.240
Teacher spread0.143 · 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

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same topicInfrared Target Detection MethodologiesFrench-language works237,207