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Record W7110529576

Science Objectives for Mars Sample Return

2024· other· en· W7110529576 on OpenAlexfundaboutno aff

Bibliographic record

Venueelib (German Aerospace Center) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersJapan Aerospace Exploration AgencyNational Aeronautics and Space AdministrationEuropean Space AgencyCanadian Space AgencyUK Space AgencyNational Academies of Sciences, Engineering, and Medicine
KeywordsAerospaceMars Exploration ProgramSpace ScienceSpace researchSpace explorationAgency (philosophy)Space (punctuation)PropulsionSample (material)
DOInot available

Abstract

fetched live from OpenAlex

SCIENCE OBJECTIVES FOR MARS SAMPLE RETURN. Prepared by the MSR Campaign Science Group (MCSG) with Chairs, G. Kminek1, L. E. Hays2, Members, D. W. Beaty3, E. Sefton-Nash1, B. L. Carrier3, F. Thiessen1, T. Haltigin1,4, A. Bouvier5, A. D. Czaja6, N. Dauphas7, K. L. French8, L. J. Hallis9, R. L. Harris2,10,11, E. Hauber12, L. E. Rodriguez13, S. P. Schwenzer14, A. Steele15, K. T. Tait16, M. T. Thorpe17,18, T. Usui19, J. Vanhomwegen20, M. A. Velbel21, M.-P. Zorzano22, S. Edwin23, K. A. Farley24, D. P. Glavin17, A. D. Harrington25, A. Hutzler1, and M. Wadhwa3,26, 1European Space Agency, ESTEC, Noordwijk, The Netherlands, 2NASA Headquarters, Washington, D.C., USA, 3Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA, 4Canadian Space Agency, St. Hubert, Quebec, Canada, 5University of Bayreuth, Bayreuth, Germany, 6University of Cincinnati, Cincinnati, Ohio, USA, 7University of Chicago, Chicago, Illinois, USA, 8U.S. Geological Survey, Denver, Colorado, USA, 9University of Glasgow, Glasgow, UK, 10Harvard University, Cambridge, Massachusetts, USA, 11Oak Ridge Associated Universities, Oak Ridge, Tennessee USA, 12German Aerospace Center (DLR), Berlin, Germany, 13Lunar and Planetary Institute, Universities Space Research Association, Houston, Texas, USA, 14The Open University, Milton Keynes, UK, 15Carnegie Institution of Washington, Washington, D.C., USA, 16Royal Ontario Museum, Toronto, Ontario, Canada, 17NASA Goddard Space Flight Center, Greenbelt, Maryland, USA, 18University of Maryland, College Park, Maryland, USA, 19Japan Aerospace Exploration Agency (JAXA), Tokyo, Japan, 20Institut Pasteur, Paris, France, 21Michigan State University, East Lansing, Michigan, USA, 22Centro de Astrobiologia (CAB), CSIC-INTA, Madrid, Spain, 23Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA, 24California Institute of Technology, Pasadena, California, USA, 25NASA Johnson Space Center, Houston, Texas, USA, 26Arizona State University, Tempe, Arizona, USA. Introduction: The joint NASA/ESA Mars Sample Return (MSR) Campaign has a goal of returning a carefully selected cache of samples collected from Jezero crater, Mars. These samples are currently being collected by the Mars 2020 mission Perseverance rover (the first flight element of MSR; https://science.nasa.gov/mission/mars-2020-perseverance/mars-rock-samples/). Under the currently planned architecture, MSR has the potential to return up to 30 samples, including igneous rocks, sedimentary rocks, regolith, and atmosphere. MSR would fulfill one of the highest priority solar system exploration goals from the planetary science and astrobiology communities [1]. Once the samples have been returned to Earth, the MSR Sample Receiving Project (SRP) would support detailed scientific investigations, both within and outside of containment, to significantly advance our understanding of Mars, our solar system, and prepare for human exploration of the Red Planet. Building upon previous efforts that enumerated the science goals and objectives of MSR [2-4], the MSR Campaign Science Group (MCSG) was tasked with defining the scientific objectives of the SRP. Here, we detail four overarching objectives, each with several subobjectives that would transform our understanding of the geological and astrobiological history of Mars and our solar system.

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)0.005
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0020.000
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0260.013

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 head0.015
GPT teacher head0.317
Teacher spread0.302 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes2
Has abstractyes

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