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Record W2810726497 · doi:10.4050/f-0074-2018-12880

Joint Multi-Role Technology Demonstrator Fuselage Proof Test

2018· article· en· W2810726497 on OpenAlexaff
Dennis McCarthy, Darryl Toni, Matt Spies, Dan Solari

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsFuselageLift (data mining)Flight testAerospace engineeringMissileEngineeringJoint (building)AeronauticsFlight envelopeSystems engineeringAviationComputer scienceAutomotive engineeringReliability engineeringSimulationStructural engineering

Abstract

fetched live from OpenAlex

Sikorsky, Boeing, and the U.S. Army Aviation and Missile Research Development and Engineering Center are developing the most technically advanced Joint Multi-Role (JMR) rotorcraft designed to meet aggressive Future Vertical Lift requirements. The Sikorsky-Boeing team has designed and is currently fabricating the SB>1 DEFIANTTM Technology Demonstrator (TD) Aircraft to integrate and mature advanced technologies to demonstrate speed, maneuverability, and weight efficiency on a full-scale vertical lift platform. The JMR TD is currently being assembled to support upcoming flight testing. The JMR TD fuselage and empennage are light-weight, hybrid carbon/epoxy designs which were fabricated and successfully ground tested in the past year clearly demonstrating an ample safe envelope for flight test. Contained herein is a discussion of test load derivation, test details, load calibration for flight test, and test data correlation validating the JMR TD analysis and design.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.999

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)0.0010.001

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 head0.025
GPT teacher head0.260
Teacher spread0.235 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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