A comparison of microfabrication and WakeShield's processing requirements
Bibliographic record
Abstract
Using orbital vacuum for enhanced semiconductor fabrication was pioneered in the Wake Shield project which produced ultra-high vacuums for epitaxial growth of high quality GaAs like materials. A proposed alternative uses the native Low Earth Orbit vacuum levels to achieve the silicon microfabrication processes needed for manufacturing silicon microchips. Space microfabrication combines many processes that are easier to achieve in LEO, potentially producing a flexible range of Microchips (high value per mass products). However standard terrestrial fabrication techniques are difficult to transfer into the microgravity and vacuum environment of space. They are optimized for using in-situ resources: water, power, air pressure and gravity that are plentiful on Earth. An alternative microfabrication process has been developed using the native vacuum environment which could replace wet terrestrial based microfabrication, with significant savings in equipment size, mass and consumables, while reducing cycle time. Computer models have been developed which compare the standard Earth-based process consumables, power and fabrication time with space-oriented processes resulting in a process flow that is optimized for orbital facilities. ISS based microfabrication testing is possible before developing an integrated orbital microchip facility: FabSat .- a synergistic orbital-based system for microfabrication capable of building and delivering commercially marketable microfabricated structures and devices.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".