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Record W2883530367 · doi:10.1029/2018je005536

New Evidence of an Ancient Martian Ocean From the Global Distribution of Valley Networks

2018· article· en· W2883530367 on OpenAlexaff
N. H. Chan, J. Taylor Perron, J. X. Mitrovica, Natalya Gomez

Bibliographic record

VenueJournal of Geophysical Research Planets · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsMcGill University
Fundersnot available
KeywordsMars Exploration ProgramMartianGeologyTharsisShoreMartian surfaceVolcanoFluvialPlanetAstrobiologyPaleontologyEarth scienceOceanography

Abstract

fetched live from OpenAlex

Abstract We examine the connection between true polar wander (TPW) and the evidence for an ancient ocean on Mars. Previous studies have investigated the plausibility of a Mars ocean by examining the topography of possible ancient sea level markers on the planet's surface. One such study argued that features interpreted as ancient shorelines display long‐wavelength topographic variations consistent with postformational TPW (Perron et al., 2007, https://doi.org/10.1038/nature05873). In contrast, a second study argued that the elevations of possible ancient deltaic deposits associated with an ocean on early Mars are not consistent with the TPW scenario (di Achille & Hynek, 2010, https://doi.org/10.1038/ngeo891). Herein we revisit this issue by examining another marker of ancient shorelines—fluvial valley networks observed on the surface of Mars. Our results support the existence of an ancient Martian ocean and that long‐wavelength deformation of related surface features (ancient shorelines and valley networks) was driven by some combination of TPW and surface loading associated with the formation of the Tharsis volcanic province.

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 score0.370
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.054
GPT teacher head0.344
Teacher spread0.290 · 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

Citations25
Published2018
Admission routes1
Has abstractyes

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