Experimental Protocol Design For The International Space Station Insect Habitat
Bibliographic record
Abstract
The fruitfly, Drosophila melanogaster, is an ideal organism for biological research for several reasons: it is small and relatively simple to culture, has a short generation time, and can be grown in numbers large enough to permit meaningful statistical analysis. Its genetics are well understood and easily manipulated, and a vast stock of mutant and engineered strains exist which facilitate the molecular analysis of almost any biological question. In fact, much of what we currently understand about the basic mechanisms underlying metabolism, development, reproduction, behaviour, and aging is derived directly from Drosophila research. For all of these reasons, Drosophila is a logical choice on which to perform basic research into the effects of the spaceflight environment on living systems. The Space Station Insect Habitat is being developed by the Canadian Space Agency in support of this effort. This paper will discuss the challenges encountered in producing a self-contained Insect Habitat capable of not only supporting the growth and development of several generations of Drosophila, but also facilitating the extraction of useful scientific data from sometimes complicated experimental protocols performed with limited crew interaction. One such protocol will be described in detail, illustrating how these logistical problems have been solved, and indicating the sorts of data obtainable in the Habitat and its value to the scientific community.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.246 | 0.080 |
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".