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Record W4392649715 · doi:10.5194/egusphere-egu24-16856

Challenges and insights from zircon and baddeleyite U-Pb ages and Hf isotope analyses of Karoo and Siberian LIP intrusive rocks

2024· preprint· en· W4392649715 on OpenAlexaff
Urs Schaltegger, Sean P. Gaynor, André Navin Paul, Joshua H.F.L. Davies, Henrik Svensen, Jahandar Ramezani

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsBaddeleyiteZirconGeochemistryGeologyIsotopeGeochronology

Abstract

fetched live from OpenAlex

The emplacement of Large Igneous Provinces (LIPs) has been interpreted as the cause of many environmental and biotic crises during Earth's history, largely due to their potential for introducing massive volumes of volcanogenic and thermogenic gases into the atmosphere. To assess this potential link, it is crucial to evaluate the potential coincidence of environmental perturbation, fluctuations in biodiversity, and extinction periods with LIP emplacement, requiring high-precision geochronology of LIP rocks. Volumetrically, most magmas and lavas associated LIPs are mafic, which presents as a significant challenge for high-precision geochronology, as mafic magmas rarely saturate U-bearing minerals, such as zircon or baddeleyite. In such a case, 40Ar/39Ar dating of plagioclase from these rocks is carried out, which has geological and analytical complications that may lead to inaccurate ages, and subsequently to flawed geologic models (Antoine et al., 2022).Recent work has shown that high-silica melt pockets in LIP intrusions, contaminated by wall rock at the emplacement level, can crystallize mineral phases useful for high-precision U-Pb dating. The process of sedimentary wall rock contamination directly affects the composition of these minerals, as anatexis of this material significantly shifts the Hf isotope composition of zircon (and baddeleyite) away from mantle composition. These interactions between LIP intrusions and their wall rock can cause significant complications within the age spectra of these mineral phases.Baddeleyite, the first U-rich phase to saturate during LIP magma crystallization, commonly yields anomalously young and scattering dates from partial loss of radiogenic Pb. Zircon is a rare mineral in these rocks. Its scatter in U-Pb dates is a combination of residual Pb loss after chemical abrasion and traces of xenocrystic components in the zircon grain, derived from inherited zircon during the contamination process. Zircon U-Pb ages are particularly significant, as zircon crystallization not only records igneous solidification, but also wall rock interaction and thermogenic gas generation, allowing for high-precision geochronology of potential climate altering events.We will present new data sets of high-precision zircon and baddeleyite U-Pb and Hf isotope data, from sills of the Karoo and the Siberian Trap LIPs and highlight the potential implications for thorough understanding of the intrusive emplacement mechanisms. The Hf isotope compositions from both LIPs indicate localized contamination of the magma, indicating entrainment, anatexis and assimilation of wall rock during emplacement and sill inflation. Interpreted U-Pb ages of samples throughout the intrusive structure of the Siberian Trap LIP and the Karoo LIP indicate that not only was magma emplacement protracted over a few 100 ky within their subvolcanic domains, but that there was a similar temporal-structural progression of downward migrating emplacement through intrusive assembly. Finally, intrusive emplacement and associated wall rock thermogenic reactions for both LIPs are coeval with well documented periods of global climate change and carbon cycle perturbation in the lower Toarcian and lower Triassic, respectively.Cited reference: Antoine et al. (2022) Chem. Geol. 610, 12108

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.067
GPT teacher head0.260
Teacher spread0.193 · 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 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
Published2024
Admission routes1
Has abstractyes

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