Lunar Analog Testing in Hawai'i: An Example of International Collaboration
Bibliographic record
Abstract
The Pacific International Space Center for Exploration Systems (PISCES) of the University of Hawai'i at Hilo was founded in 2007 to pursue research, education and analog testing of new technologies designed to sustain life on the Moon and beyond. PISCES operates a test site on the lower slopes of Mauna Kea on the Big Island of Hawaia'i. In November, 2008, scientists from the United States (KSC, JSC, JPL, Lockheed-Martin, Carnegie-Mellon University), Canada (NORCAT, Canadian Space Agency [CSA]), Germany (DLR) and Switzerland (Michelin) gathered for an International Lunar Analog Test in Hawai'i. In 2010, these groups will be joined by others, including the European Space Agency, in a second series of international tests. Tests include in situ resource utilization (ISRU) production of water, oxygen and other volatiles, and robotics as well as studies of the process of analog test operations and management and base design. Fuel cell integration, space medicine techniques, lunar mining and numerous other experiments will be conducted in an environment which has already proven itself as a lunar analog site. The lunar analog tests in Hawai'i are characterized by a high degree of scientific integration and international collaboration. Robots from several agencies will be transporting devices constructed by other agencies to conduct site-preparation studies, regolith transport, and related activities. Between fifty and seventy scientists from around the world will be joined by undergraduate students, graduate students, scientists and operations workers. All personnel from the participating countries work side by side. PISCES will also coordinate a public outreach and education program which serves the dual purpose of (1) educating the public in current efforts to create a sustainable human presence on the Moon and (2) generating local support for lunar analog testing. We will describe briefly the tests which are conducted on the Hawai'i site and the ways in which groups of scientists and engineers from around the world come together in common endeavor.
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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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".