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Record W2945563108

Shock Deformation and Transformation Effects in Unbrecciated Lunar Mare Basalt Northwest Africa 032

2018· article· en· W2945563108 on OpenAlexaff
Xi Xue

Bibliographic record

VenueStudent Research Proceedings · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsMacEwan University
Fundersnot available
KeywordsMeteoriteGeologyBasaltIgneous rockElectron microprobePlagioclaseChondriteShock (circulatory)Shock metamorphismGeochemistryBrecciaPetrographyMicroprobeImpact craterMineralogyAstrobiologyPaleontologyPhysics
DOInot available

Abstract

fetched live from OpenAlex

Lunar meteorites are an important source of information about the Earth’s moon. In this study, the mineralogy and texture of lunar meteorite Northwest Africa 032, an unbrecciated lunar basalt, is characterized. Shock veins and shock melt pockets are the main foci, which gives a better understanding of the impact history of this lunar meteorite. Four types of instruments were used: the petrographic microscope, scanning electron microscope, electron microprobe, and Raman spectrometer. The microprobe quantified the abundance of elements contained in the shock veins and shock melt pockets: Si, Ti, Al, Cr, Fe, Mn, Mg, Ca, Na, K, P and S. SEM provide detailed high-resolution images where we are interested in. Raman spectroscopy shows the structure of minerals that crystallized from shock melt, as well as the state of igneous plagioclase, which is sensitive to shock pressure. The studied shock effects tell us that NWA 032may have experience shock pressure >23 GPa. This shock was likely the same impact event that ejected the meteorite from the Moon. The shock pressure raised the shock veins and shock melt to temperatures over 1200 °C. As a result, the partial melting took place. NWA 032 is currently the youngest dated (2.93 Ga) lunar igneous rock. The history of the lunar sample NWA 032 holds evidence that a significant number of impact events occurred in the past on the moon's surface. Discipline: Physical Science Faculty Mentor: Dr. Erin Walton

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.340

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.334
Teacher spread0.292 · 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 teacher head, 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
Published2018
Admission routes1
Has abstractyes

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