MétaCan
Menu
Back to cohort
Record W4408541179 · doi:10.1016/j.epsl.2025.119274

Zebra textures in fault-controlled, hydrothermal dolomite bodies: Coupled mechanisms of replacement, deformation, and cementation

2025· article· en· W4408541179 on OpenAlexaff
Cole A. McCormick, E. H. Rutter, Hilary Corlett, Matthew Steele‐MacInnis, Eivind Block Vagle, Fiona Whitaker, Cathy Hollis

Bibliographic record

VenueEarth and Planetary Science Letters · 2025
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsUniversity of AlbertaMemorial University of Newfoundland
FundersNatural Environment Research CouncilInternational Association of SedimentologistsAmerican Association of Petroleum Geologists FoundationUniversità degli Studi di FirenzeUniversity of ManchesterGeological Society of London
KeywordsGeologyDolomiteCementation (geology)Hydrothermal circulationDeformation (meteorology)GeochemistryFault (geology)Cataclastic rockPaleontologyComposite materialCementOceanography

Abstract

fetched live from OpenAlex

• Fault-controlled, hydrothermal dolomite bodies record the P/T evolution of crustal rocks. • Zebra textures, for example, form at pore-fluid pressures that range from 10 to 50 MPa. • Their genesis can also occur at burial depths that range from 400 to 5000 m. • Strain-hardening gives rise to the propagation of successive fractures in zebra textures. Fault-controlled, hydrothermal dolomitization typically involves the interaction of high pressure (P), high temperature (T) fluids with the surrounding host-rock. A striking feature of hydrothermal dolomite bodies is the pattern development and periodicity of zebra textures, whereby alternating units of replacement dolomite (RD) and saddle dolomite (SD) form symmetrical RD-SD/SD-RD patterns. Zebra textures are often considered to be diagnostic of these elevated P/T conditions, but the roles of mechanical deformation and the localization of strain during dolomitization have received limited attention. Here we evaluate the effect of P/T perturbations on the genesis of zebra textures, alongside how strain-hardening mechanisms promote their characteristic pattern development. Published fluid inclusion homogenization and carbonate clumped isotope temperatures were compiled from the literature and the offset between these data were used as a geobarometer. Based on these pore-fluid pressures, a series of rock deformation experiments were conducted to reproduce zebra textures in the laboratory. Cylindrical rock samples were held in an annealed copper jacket and deformed in axisymmetric extension. As the rock underwent tensile failure, the copper jacket locally deformed by intracrystalline plasticity, strain-hardened, and stabilized each opening-mode fracture. As a result, a succession of closely spaced fractures formed along the length of the sample. In natural geological settings, an analogous process is inferred, whereby dilatancy hardening, precipitation hardening, and the stress shadow effect promote the rhythmicity that is a defining feature of zebra textures. Lastly, the effects of P/T perturbations on the solubility of dolomite, for a range of different fluid compositions, were evaluated using the Pitzer aqueous model in PHREEQC. This interdisciplinary study presents novel insights into the geomechanical and hydrochemical interaction between metasomatic fluids and carbonate rocks, which are of critical importance to our understanding of carbonate-hosted ore deposits in sedimentary basins worldwide.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.197
Teacher spread0.192 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations6
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueEarth and Planetary Science LettersSame topicHydrocarbon exploration and reservoir analysisFrench-language works237,207