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Record W2981483536 · doi:10.4095/296486

Magmatic evolution in Devonian granitic rocks and relation to granophile mineralization in New Brunswick: application of biotite trace element mapping with EPMA and LA-ICP-MS

2015· report· en· W2981483536 on OpenAlexaffabout
Z Azadbakht, David R. Lentz, Chris McFarlane

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsBiotiteGeochemistryGeologyTrace elementMineralization (soil science)Electron microprobeDevonianMineralogyPaleontologyQuartzSoil science

Abstract

fetched live from OpenAlex

Two suites of felsic intrusions were emplaced during the later parts of the Appalachian orogenic cycle in New Brunswick. However, just those associated with crustal thickening processes of Acadian orogeny, post Acadian uplift, and Neoacadian orogeny are mineralized with granophile elements to form Sn, W, Mo, Cu, Bi, Sb, and Au deposits, as well as Ta, Li, base-metals, and U mineralization. Biotite major element classification indicated that these intrusions are mostly A- and S-type granitoids and their hybrid varieties; some I-type granitoids are also present in the area. Magmatic biotite from forty-two of these Devonian intrusions was studied by electron microprobe (EPMA) and LA -ICP-MS at the University of New Brunswick. Whereas major elements are typically constant from core to rim, biotite grains can show remarkable trace element zoning. LA-ICP-MS trace element maps were also produced when permitted by the size of the biotite, frequency of the mineral inclusions, degree of alteration, and the laser spot size required to achieve sub-ppm detection limits. In this study, unaltered biotite grains with minor mineral inclusions, and diameters larger than 300 ?m, display trace-element zoning patterns. Furthermore, smaller biotite tends to be more susceptible to intracrystalline diffusion. As a result, their elemental zoning should be further studied and cross -checked with other characteristics. Results of this study showed LILE zoning, including Cs, Ba, and Rb, for most of the biotite grains. As these elements are highly incompatible, any zoning can be a result of the magma evolution history recorded within the biotite crystalline structure. Any other trace element pattern following them will also be of an igneous source. For example, biotite grains from the Pleasant Ridge granite show an increase from core to rim for Cs and Sn and a decrease for W and Sc. Copper is also high along the cleavages where biotite is weakly altered to chlorite. These observations coupled with an increase in F/Cl content from 770 to 1300 indicate that fractional crystallisation of this granite led to Sn mineralization. Tin is positively correlated with Fe/(Fe+Mg), but negatively correlated with FeT/ Ti; this relationship may indicate that the Sn content of biotite increases with low fo2 and low temperatures as indicated by the iron/magnesium ratio. According to the results, the use of biotite as an indicator of trace element changes within granitic systems was achieved; with the help of other types of data, the composition of biotite may be a useful tool to indicate a difference between barren and mineralized granophile-element rich systems.

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)0.000
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 score0.351
Threshold uncertainty score0.707

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.015
GPT teacher head0.212
Teacher spread0.197 · 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
Published2015
Admission routes2
Has abstractyes

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