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Record W3091801036

Mission operations design for lunar sample return as field-tested in an analogue deployment to the Sudbury impact structure

2011· article· en· W3091801036 on OpenAlexaboutno aff
John E. Moores, Richard Francis, Timothy D. Barfoot, N. Barry, G. Basic, M. Battler, Mark R. Beauchamp, Stéphane Blain, Michel Bondy, R. D. Capitan, A. Chanou, J. Clayton, E. A. Cloutis, M. G. Daly, C. Dickinson, H. Dong, R. L. Flemming, Paul Furgale, J.C. Gammel, N. Gharfoor, M. Hussein, R. A. F. Grieve, H. Henrys, P. Jaziobedski, Andrew Lambert, K. Leung, M. M. Mader, C. L. Marion, Emily McCullough, Colin McManus, C. D. Neish, H. K. Ng, A. Ozaruk, A. E. Pickersgill, Louisa J. Preston, D. Redman, H. M. Sapers, B. Shankar, A. C. Singleton, Kate Souders, Braden Stenning, Philip J. Stooke, Paul Sylvester, L. L. Tornabene, G. R. Osinski

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsSoftware deploymentSpacecraftSample (material)Aerospace engineeringAstrobiologySpace explorationEngineeringComputer scienceGeologySystems engineeringAeronauticsPhysics
DOInot available

Abstract

fetched live from OpenAlex

A Mission Operations Design will be described for an analogue robotic sample return mission on the far side of the Moon in the South Pole-Aitken Basin. The analogous site will be within the Sudbury Impact Structure. This scenario will use a rover acting alone supported by a single relay spacecraft. The structure established and tested will offer lessons for improving decision making and reducing training time across all similar planetary space missions, including private lunar missions. Differences between our process and the processes used by other recent science-driven Analogue Mission activities [4,6,7] will be discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.992
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.063
GPT teacher head0.302
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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