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Record W4402638350 · doi:10.4050/f-0073-2017-12099

SB>1 Defiant Joint Multi-Role Technology Demonstrator: The Way Forward for Rotorcraft Manufacturing

2017· article· en· W4402638350 on OpenAlexaff
Jessica Newman, W. Förster, Christopher Gatley, Thomas Pinney, Jeff Kinlan, Anshuman Saha

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsJoint (building)Computer scienceAeronauticsAutomotive engineeringEngineeringAerospace engineeringStructural engineering

Abstract

fetched live from OpenAlex

Modern manufacturing processes have been streamlined over time to ensure build accuracy and minimize waste related to cost and schedule. For future aircraft development, rapid prototyping has afforded the ability to hone these processes further. The Joint Multi-Role Technology Demonstrator (JMR TD) Program is focused on building the next generation of rotorcraft, known as Future Vertical Lift (FVL), to replace the current military fleet. The Sikorsky-Boeing SB>1 DEFIANT™ Technology Demonstrator Team has created several innovative approaches for this purpose. Legacy methodologies from both companies were tailored for the rapid prototyping environment. Advancement in manufacturing technologies from research and development projects being executed by the JMR team, in partnership with the government and academia, has helped to provide additional insight on the best approach to FVL.

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 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 score0.841
Threshold uncertainty score0.530

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.037
GPT teacher head0.282
Teacher spread0.245 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations1
Published2017
Admission routes1
Has abstractyes

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