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Record W3107164081 · doi:10.1002/gj.4044

Paragenesis of secondary Ca–Al silicates during hydrothermal alteration of Proterozoic granitic rocks (SE Sweden)

2020· article· en· W3107164081 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeological Journal · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSericiteGeologyGeochemistryHydrothermal circulationTitaniteEpidoteParagenesisFeldsparAlbitePlagioclaseBiotiteChloriteProterozoicMineralogyQuartzMetamorphic rock

Abstract

fetched live from OpenAlex

The texture and chemical compositions of secondary Ca–Al silicates (prehnite, pumpellyite, epidote, and titanite) and of related minerals (chlorite, sericite, K‐feldspar, albite, Fe‐oxides, fluorite, and calcite) are used to discuss their formation conditions during interaction of Proterozoic granitic rocks from SE Sweden with hydrothermal fluids. The paragenetic sequence of the Ca–Al silicates is suggested to have been accomplished at ca. 200–350°C and was controlled by small‐scale variations in the chemistry of the hydrothermal fluids, such as a Ca 2+ /a H + ratio and f O2 and f CO2 . These variations in fluid chemistry occurred mostly in closed systems, which involved the redistribution of elements released from the alteration of the magmatic minerals, primarily plagioclase, biotite, and amphibole and inducing porosity modifications. Accordingly, results obtained in this study should have implications for the role of hydrothermal alterations on element redistribution in the continental crust and for suitability of granitic rocks as repositories for radioactive wastes.

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.

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 score0.045
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0290.000

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 head0.020
GPT teacher head0.207
Teacher spread0.187 · 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