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Record W4414254091 · doi:10.1111/ter.70014

P‐T‐t‐d Evolution of Low‐Grade Metamorphic Xenotime, Eastern Alps (Austria)

2025· article· en· W4414254091 on OpenAlexafffund
Marianne Sophie Hollinetz, Benjamin Huet, Chris McFarlane, David Schneider, Bernhard Grasemann

Bibliographic record

VenueTerra Nova · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of OttawaUniversity of FrederictonUniversity of New Brunswick
FundersOeAD-GmbHNatural Sciences and Engineering Research Council of CanadaUniversität Wien
KeywordsMetamorphic rockMetamorphismCrenulationRadiometric datingPermianApatiteCleavage (geology)

Abstract

fetched live from OpenAlex

ABSTRACT In situ LA‐ICP‐MS U‐Pb dating of xenotime was used to establish the age of low‐grade metamorphism in Permian metasediments of the Austroalpine Unit (Eastern Alps, Austria). Complexly zoned xenotime in chloritoid‐bearing metasedimentary samples possesses distinct MREE‐rich domains. In the eastern sample, this domain yielded a date of c. 135 Ma, which we interpret as the age of peak metamorphism at 350°C and 0.4–0.5 GPa based on host‐inclusion relationships between chloritoid and xenotime. In the western sample, MREE‐rich xenotime formed at c. 92 Ma related to the formation of a pervasive crenulation cleavage post‐dating the metamorphic peak. In both samples, metamorphic xenotime formed paragenetically with florencite and apatite at the expense of detrital xenotime and REE‐bearing apatite, and is linked to deformation facilitated by dissolution‐precipitation. This study demonstrates that coupling in situ xenotime dating with comprehensive microstructural and chemical characterisation is a promising strategy to determine precise tectono‐metamorphic events in low‐grade metamorphic units.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.000

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 head0.026
GPT teacher head0.226
Teacher spread0.200 · 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.

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 routes2
Has abstractyes

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