Sample return and the Canadian Space Agency: Ongoing activities and avenues for international collaboration
Bibliographic record
Abstract
Canadian Planetary Exploration Overview: Broadly, the Canadian Space Agency's (CSA) planetary exploration program consists of participating in ongoing missions and conducting preparatory activities for missions yet to come.CSA's science goals are developed in conjunction with the Canadian academic community, and follow two general themes: (i) understanding the origin and evolution of planetary bodies within the solar system, and (ii) habitability and life detection.As these goals are squarely aligned with a variety of current and future sample return efforts, CSA -in collaboration with its international partners -has become increasingly involved in sample return mission operations and planning.OSIRIS-REx: CSA's first formal participation on a sample return effort is with the NASA-led Origins Spectral Interpretation Resource Identification Regolith Explorer (OSIRIS-REx) mission.OSIRIS-REx aims to return at least 60g of material from asteroid Bennu, a primitive carbon-rich B-type asteroid believed to contain organic materials [1].Canada's hardware contribution to the mission is the OSIRIS-REx Laser Altimeter (OLA) instrument (Fig. 1), built by MDA Corporation and led by Principal Investigator Dr. Mike Daly of York University.OLA is a scanning lidar that will provide highresolution 3D topographic information about the asteroid, helping provide geologic context for the spacecraft's spectral instruments and aiding selection of a site where samples can be collected safely [2].In return for its contribution of OLA and support of a number of mission Science Team members, Canada will receive 4% of the returned sample.A Canadian OSIRIS-REx Sample Advisory Committee is being targeted to assist in evaluating the appropriate curation partner and to review the proposed Curation Plan.This committee would seek input from international partners who have heritage in astromaterial curation.Upon successful return of the samples, Canada also aims to maximize the scientific use of its sample allocation, and would thus welcome discussions on potential sample access opportunities with interested parties. Mars Sample Return -Mission Architecture and Science Management:Mars Sample Return (MSR) remains one of the highest priorities of the international planetary science community.Because MSR is likely too large an endeavor to be taken on by any individual country or space agency, international cooperation will be paramount to reaching this goal successfully.Several agencies throughout the world are evaluating possible contributions to this multi-mission endeavor, with coordination efforts discussed through the International Mars Exploration Working Group (IMEWG).In 2014, IMEWG tasked the international Mars Architecture for the Return of Samples (iMARS) working group to define a mission architecture that could successfully achieve MSR and to outline a science management plan for the returned samples.Canada played a lead role in this effort, co-chairing both the science and engineering sub-teams.Over two years, the working group developed an extensive set of findings and recommendations, some of which have already been implemented.A summary presentation was presented at the Mars Exploration Payload Analysis Group (MEPAG) meeting in 2016 [3], with the full report expected to be published in fall of 2017. Mars Sample Return -Caching and Retrieval:One of the key findings from the iMARS team was that a minimum of three flight missions would be required to achieve MSR: (i) sample collection and caching; (ii) sample retrieval, and; (iii) Earth return.A number of open scientific, technical, and operation questions remain open regarding the execution of the surface elements, (i) and (ii).With international cooperation coordinated via IMEWG, Canada led robotic field deployments near Hanksville, Utah (USA) to start answering some of these questions (Fig. 2).Science operations for the sample cache mission were conducted over four weeks spanning 2015 and 2016.The mission team conducted operations using a combination of rover-integrated sensors and hand-held instruments, successfully capturing eight scientifically-selected samples and developing an environmental reconstruction of the "landing site".Additionally, a two week deployment in 2016 utilized the rover in its sample retrieval configuration, demonstrating successfully the adaptive caching approach currently preferred by the Mars 2020 mission [4].These efforts have advanced international readiness for an eventual MSR campaign and paved the way for future deployments to further reduce risk.
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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 | 0.024 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.019 |
| Science and technology studies | 0.018 | 0.003 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.007 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.074 | 0.009 |
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".