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Record W4416537340 · doi:10.1038/s43247-025-03004-7

Widespread ancient anorthosites in the lower crust of Mars

2025· article· en· W4416537340 on OpenAlexaff
Michael Phillips, C. E. Viviano, A. D. Rogers, L. Tornabene, A. J. Trowbridge, J. E. Moersch, H. Y. McSween

Bibliographic record

VenueCommunications Earth & Environment · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsWestern University
FundersBrown UniversityNational Aeronautics and Space Administration
KeywordsCrustPyroxeneMaficMars Exploration ProgramMartianOutcropIgneous rock

Abstract

fetched live from OpenAlex

Understanding when and how evolved rocks formed on terrestrial planets remains a fundamental question in planetary geology. Mars preserves ancient surface rocks, providing unique opportunities to study early crustal formation. Here we report extensive detections of feldspathic, possibly anorthositic, rocks uplifted by the Argyre basin-forming impact using orbital remote sensing. The radial distribution of these feldspathic outcrops indicates they originated from the lower martian crust, positioned stratigraphically between olivine-bearing materials and low-calcium pyroxene-bearing upper crustal rocks. This stratigraphy resembles observations at the Hellas basin, suggesting feldspar-rich rocks are widespread in the lower crust. The spatial association of plagioclase-rich outcrops with pyroxene and olivine-bearing units resembles layered mafic intrusions on Earth, suggesting large-scale melting early in Mars’s history produced differentiated igneous complexes. These observations offer direct evidence to support and refine existing models of early crust formation, addressing key questions regarding crustal properties and formation that have lacked widespread observational constraints. Spectrally feldspathic lithologies, stratigraphically located in the lower crust above olivine-bearing material and below low-Ca pyroxene bearing rocks, are exposed in the Argyre impact basin and observed in data from the Mars Reconnaissance Orbiter.

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)0.000
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 score0.229
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.234
Teacher spread0.217 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

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