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Record W1992568598 · doi:10.1117/12.397763

<title>Boeing Displays Process Action team</title>

2000· article· en· W1992568598 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

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
Typearticle
Languageen
FieldEngineering
TopicEngineering and Test Systems
Canadian institutionsBoeing (Canada)
Fundersnot available
KeywordsAerospaceAvionicsInteroperabilityActive matrixComputer scienceProcess (computing)Product (mathematics)AeronauticsTelecommunicationsManufacturing engineeringEngineeringAerospace engineeringOperating systemMaterials science

Abstract

fetched live from OpenAlex

Boeing uses Active Matrix Liquid Crystal Display (AMLCD) technology in a wide variety of its aerospace products, including military, commercial, and space applications. With the demise of Optical Imaging Systems (OIS) in September 1998, the source of on-shore custom AMLCD products has become very tenuous. Reliance on off-shore sources of AMLCD glass for aerospace products is also difficult when the average life of a display product is often less than one-tenth the 30 or more years expected from aerospace platforms. Boeing is addressing this problem through the development of a Displays Process Action Team that gathers input from all display users across the spectrum of our aircraft products. By consolidating requirements, developing common interface standards, working with our suppliers and constantly monitoring custom sources as well as commercially available products, Boeing is minimizing the impact (current and future) of the uncertain AMLCD avionics supply picture.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score0.885

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 head0.010
GPT teacher head0.224
Teacher spread0.214 · 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