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Record W4415339774 · doi:10.1016/j.icarus.2025.116857

Scalloped cliff formations of north polar layered deposits of mars: A new catalog

2025· article· en· W4415339774 on OpenAlexafffund
Akash Nair, I. B. Smith

Bibliographic record

VenueIcarus · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsYork University
FundersCanada Research ChairsYork University
KeywordsPolarCliffSedimentary rockImpact crater

Abstract

fetched live from OpenAlex

The north polar layered deposits of Mars are composed mainly of water ice with varying fractions of dust in the layers. This almost 2-km stack records a history of accumulation and ablation that tells of climatic episodes. The layers are frequently exposed as outcrops at spiral troughs that can be inspected for geomorphological details related to deposition and ablation cycles. Here, we identify and catalog the 226 morphologic features we call “scalloped cliffs” that exhibit tell-tale signs of variable resistance to erosion in sequential layers. The spatial distribution of scalloped cliffs suggests that they are primarily near the margins on the NPLD, especially in the Gemini Scopuli region of Planum Boreum. Many are immediately associated with an unconformity, providing clues to their origin. Additionally, we present two distinct hypotheses behind their formation that relate to alternating layer properties, especially related to dust content and susceptibility to ablation. For each example, we hypothesize that the scalloped cliffs form when friable dust-rich lag deposits, at unconformities, are emplaced between more resistant icy layers and that their unique wavy appearance is due to oblique wind scouring.

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 score0.048
Threshold uncertainty score0.168

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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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