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Record W1622784944 · doi:10.1017/cbo9780511536076.005

Mars Exploration Rovers: chemical composition by the APXS

2008· book-chapter· en· W1622784944 on OpenAlexaff
J. Brückner, G. Dreibus, R. Gellert, S. W. Squyres, H. Wänke, A. S. Yen, J. Zipfel

Bibliographic record

VenueCambridge University Press eBooks · 2008
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsGeologyGeochemistryMeteoriteMartian surfaceRegolithMineralogySedimentary rockImpact craterMartianMars Exploration ProgramAstrobiology

Abstract

fetched live from OpenAlex

The Alpha Particle X-Ray Spectrometers (APXSs) on board the Mars Exploration Rovers (MERs) determine the elemental compositions of Martian samples. Improvements to the version of the instrument flown on the Mars Pathfinder (MPF) mission allow, for the first time, in situ detection and quantification of trace elements such as nickel, zinc, and bromine. The APXS measurements are performed by placing the sensor head against or immediately above the sample surface. A wealth of compositional diversity has been discovered at the two MER landing sites. At Gusev crater, fresh rock surfaces in the plains resemble primitive basalts, while rocks in the Columbia Hills are significantly weathered and enriched in mobile elements such as phosphorus, sulfur, chlorine, and bromine. Sandstones cemented by sulfates as well as evidence for clay formation have also been found in the Columbia Hills. At Meridiani Planum, the layered sedimentary rocks were found to consist primarily of sulfates mixed with siliciclastic debris. Iron-rich spherules and their fragments, confirmed to be hematitic by the Mössbauer spectrometer (MB), are found armoring the soil bedforms as well as embedded in the outcrop rocks. A variety of unusual objects, including an iron-nickel meteorite and a likely ejecta fragment similar to a Martian meteorite, have also been discovered. The elemental compositions of soils analyzed at both sites are remarkably similar, indicative of global-scale homogenization or the similarity of the soil precursors.

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 score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.009

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.

Opus teacher head0.021
GPT teacher head0.179
Teacher spread0.158 · 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

Citations55
Published2008
Admission routes1
Has abstractyes

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