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Record W2953866835 · doi:10.4050/f-0075-2019-14741

Bell V-280 Valor: JMR TD Flight Test Update - Year 2

2019· article· en· W2953866835 on OpenAlexaff
Paul Wilson, Ryan Ehinger

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsAeronauticsFlight testEnvelope (radar)EngineeringTest (biology)Lift (data mining)Aerospace engineeringSimulationComputer scienceRadar

Abstract

fetched live from OpenAlex

The Bell V-280 Valor is Bell's next-generation tiltrotor -- designed, built, and tested to provide a revolutionary vertical lift capability with mature technology, mission effectiveness, and affordability for a Future Long-Range Assault Aircraft (FLRAA) program of record. The V-280 Valor Joint Multi Role Technology Demonstrator (JMR TD) entered flight test with its First Flight on December 18, 2017. The partnership between Bell and the US Army spanned all phases of V-280 design, assembly, and testing, including multiple flight tests by US Army pilots. As of April 2019, the test team has accumulated over 100 hours of flight time and over 200 operating hours on the aircraft. In 16 months of flight test, Team Valor has demonstrated the performance, capability, and high technology readiness level of the V-280 through flight test envelope expansion and achieving Key Performance Parameters (KPPs). The flight test program is continuing envelope expansion, technology insertion, and flight demonstrations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0670.057

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 head0.002
GPT teacher head0.166
Teacher spread0.163 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2019
Admission routes1
Has abstractyes

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