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Record W2791882145 · doi:10.1115/1.2015-jul-1

Tech Transfer Ultra-Light

2015· article· en· W2791882145 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

VenueMechanical Engineering · 2015
Typearticle
Languageen
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsAirplaneImpulse (physics)Mechanical engineeringEngineeringMaterials scienceAerospace engineering

Abstract

fetched live from OpenAlex

This article presents overview of various aspects and use of a solar-powered airplane. The plane, Solar Impulse 2, started on its world tour in March from Abu Dhabi. The founders of the project, Bertrand Piccard and Andre Borschberg, are taking turns as pilots. Solvay, a French company that makes high-performance polymers, became an early partner. The airplane’s 72-meter-long wing spars had extraordinary structural and weight requirements. The Solar Impulse team came up with a laminate, consisting of a honeycomb structure, made of a high-performance Torlon polymer provided by Solvay, sandwiched between super-thin layers of carbon fiber composite. Lightweight, highly efficient foam insulation is being tested by Bayer in affordable housing in the Philippines and Malaysia. Solar Impulse could not afford cabin pressurization or heating because of weight requirements. Instead, designers insulated the cabin so that retaining the pilot’s body heat and that of the instruments would keep conditions bearable. Engineers at Bayer went to work on some ultra-lightweight and highly effective polyurethane foam insulation. Solar Impulse has helped push technological limits.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score0.763

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 head0.012
GPT teacher head0.183
Teacher spread0.171 · 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