Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.127 | 0.072 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".