Ongoing Activities for the Planned Canadian OSIRIS-REx Sample Curation Facility
Bibliographic record
Abstract
the OSIRIS-REx mission collected a sample from the asteroid Bennu, which will be delivered to Earth on September 24, 2023 [1].The study of the sample will make it possible to tackle some of the fundamental questions about the early composition and evolution of the solar system.Through Canada's contribution of the OSIRIS-REx Laser Altimeter (OLA) instrument [2], Canada will receive 4% of the returned Bennu sample.The Canadian Space Agency (CSA) is currently planning its Curation Facility, the first laboratory of its kind in Canada.The facility will allow for the storage and manipulation of the sample under a curation-grade nitrogen atmosphere preventing contamination and degradation from the terrestrial environment.The CSA has also begun developing its cleaning procedures for all stainless steel, glass, and Teflon tools that would be used to manipulate the sample.In tandem, contamination monitoring protocols are being developed to ensure that the contamination of the sample is minimal and an archive of contamination knowledge is kept.Sub-samples will be available for loans to the scientific community and will be prepared using a variety of techniques (e.g., pristine grains, thick and thin sections, polished grain-mounts, etc.).Information collected through early observations and subsequent studies will be catalogued to record both the analytical history and the growing knowledge of the sample.The catalogue will facilitate sample requests from researchers from around the world.
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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 | 0.017 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.054 | 0.019 |
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".