Student Projects in Support of NASA’s Extreme Environment Mission Operations (NEEMO) Program
Bibliographic record
Abstract
Student Projects in Support of NASA’s Extreme Environment Mission Operations (NEEMO) Program Carolyn E. Newton, Victoria C. Barkley, Ashley Hollis-Bussey, Holly Abernethy, and Jason P. Kring In September 2014, over 25 students from multiple departments at Embry-Riddle Aeronautical University (ERAU) participated in the 19th mission of NASA’s Extreme Environment Mission Operations (NEEMO) program. During the mission, astronauts from NASA, Canada, and Europe lived and worked underwater inside the Aquarius facility in the Florida Keys. As an enclosed environment, about the size of a school bus, and deployed 60 feet beneath the surface, Aquarius is an excellent analog of the isolation and confinement astronauts experience aboard the International Space Station or, one day, a vehicle destined for Mars. ERAU students were involved in 3 key projects that occurred during the NEEMO 19 mission. First, engineering students, working with the company Teledyne Oil & Gas, helped design, build, and then deploy a structure for underwater testing of electronic and power cables called the Collaborative Oceanic Reliability Analysis Lab (CORAL). Second, math students conducted tests of navigation and operational capabilities for an underwater autonomous vehicle called “Eco-Dolphin.” Third, human factors and commercial space operations students observed NEEMO mission operations and gained familiarity with communication, scheduling, and coordination during space missions. The endeavor was a successful example of cooperation between academia, industry, and government with ERAU, Teledyne, and NASA students and personnel working together on the three projects. Plans are already underway for an expanded series of projects for the NEEMO 20 mission slated for July of 2015.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.054 | 0.016 |
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".