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Record W2733546908 · doi:10.4050/f-0073-2017-12117

Analytic Tool Correlation Status for the Joint Multi-Role Technology Demonstrator Program

2017· article· en· W2733546908 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
TopicTechnology Assessment and Management
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsComputer scienceJoint (building)CorrelationComputer architectureEngineeringMathematics

Abstract

fetched live from OpenAlex

The fundamental objectives of the Joint Multi-Role Technology Demonstrator (JMR TD) Air Vehicle Development program are to mature critical technologies as well as analysis tools for Future Vertical Lift (FVL). This paper summarizes the current status of analytic tool correlation performed by the Sikorsky and Boeing JMR Team. The toolset spans the disciplines of aerodynamic performance and external acoustics, dynamics and stability, handling qualities, and loads. The validation database currently includes XH-59A flight test, X2 TECHNOLOGY™ Demonstrator flight test, S-97 RAIDER® wind tunnel tests, and SB>1 DEFIANT™ Aircraft wind tunnel tests. Future planned work is discussed including additional correlation against Powered System Test Bed (PSTB), SB>1 DEFIANT™ Aircraft flight test, and S-97 RAIDER® flight test. The maturity of the toolset at the completion of the program will be sufficient for accurate predictions of X2® architecture aircraft capabilities that meet or exceed the requirements of the FVL Capability Set 3 (CS3) class.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.897
Threshold uncertainty score0.284

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 head0.019
GPT teacher head0.280
Teacher spread0.261 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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