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Record W4415880089 · doi:10.1038/s43247-025-02791-3

Early thinning, late persistence, diachronous boundaries, and a regional dichotomy in Mars' young sedimentary rocks

2025· article· en· W4415880089 on OpenAlexaff
Madison Turner, Sabrina Y. Khan, K. W. Lewis, Axel Noblet, Edwin S. Kite

Bibliographic record

VenueCommunications Earth & Environment · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsWestern University
FundersNuclear Safety and Security CommissionNational Aeronautics and Space Administration
KeywordsDiachronousSedimentary rockOutcropGeologic recordSedimentary depositional environmentVolcanoSedimentology

Abstract

fetched live from OpenAlex

Mars’ sedimentary rocks record Gyrs of environmental change. New data enable global analyses of paleo-environment relevant physical properties of these rocks, including layer thickness and accumulation rate. Here, using plane-fitting techniques on orbital imagery and elevation models, we find that sedimentary layer thicknesses of post-3.5 Ga rocks across the Martian surface show coherent variations at ~1000 km-scale that are inconsistent with simple volcanic and climatic hypotheses for formation, which are consistent with global compositional homogeneity at orbital scales. These data combined with analyses of outcrop age and total rock volume revealed a global decrease in layer thickness that predates the eventual drop off in preserved sedimentary rock volume per Myr. These constraints confirm a diachronous transition in Mars’ global sedimentary rock record while also highlighting a regional dichotomy in young sedimentary rock deposits that has not been quantified before. A global analysis of Martian remote sensing data identifies a decrease in sediment accumulation rate and layer thickness with age, suggesting a diachronous transition in sedimentation and a migratory sedimentary rock cycle despite a lack of tectonics

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 score0.309
Threshold uncertainty score0.440

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 head0.015
GPT teacher head0.215
Teacher spread0.199 · 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
Published2025
Admission routes1
Has abstractyes

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