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Record W4405622816 · doi:10.12789/geocanj.2024.51.217

Igneous Rock Associations 30. Intratelluric Versus Subaerial Nucleation and Growth of Phenocrysts in Basaltic Lava Flows

2024· article· en· W4405622816 on OpenAlexvenueno aff
Martin E. Ross

Bibliographic record

VenueGeoscience Canada · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPhenocrystSubaerialLavaBasaltIgneous rockGeologyNucleationGeochemistryPetrologyLava domeVolcanoChemistryVolcanic rock

Abstract

fetched live from OpenAlex

Phenocrysts in porphyritic lava flows are generally considered to have grown under conditions of slow magma cooling within source reservoirs at depth. The matrix (i.e. groundmass) surrounding the phenocrysts is assumed to form under rapid cooling conditions subsequent to eruption of the residual liquids at the surface. Alternatively, it has been demonstrated experimentally that phenocrysts could grow subaerially in basaltic lavas cooled at constant, linear rates. It has been suggested this mechanism could explain the correlation of porphyritic textures with unusually thick canyon-filling flows of Columbia River Basalt. Field and petrographic data supports intratelluric nucleation and growth of plagioclase phenocrysts in three lavas of the Columbia River Basalt Group (CRBG). The distinction is important because the typical basaltic phenocryst paragenesis (plagioclase, followed by olivine, then augite), if produced under surface conditions, cannot be used to test fractional crystallization models in magma reservoirs of the Columbia River Basalt Group or any other lavas. Ideally, to test the hypotheses of subaerial vs. intratelluric (subsurface) growth of phenocrysts, both intrusive (i.e. dykes) and extrusive samples crystallized from the same liquid need to be examined to compare sizes and abundances of phenocrysts. If phenocryst growth occurs only subaerially, then a lava flow should contain more phenocrysts than its intrusive counterpart. In the case of nucleation and growth in both a dyke and its flow, the flow still would contain more phenocrysts due to grains formed in the dyke being added to those formed in the flow. Detailed modal and grain size data were collected for three dyke-flow pairs of CRBG by the author and provide an excellent opportunity to compare intrusive and extrusive textures. These findings along with XRF major and trace element data indicate that the phenocrysts in these lavas must have grown within the magma reservoir and not at the surface. A model is proposed that explains the variation of phenocryst distribution laterally within a lava as an interplay of variations of magma flow and the underlying paleo-topography.

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 score0.160
Threshold uncertainty score0.999

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)0.0020.000

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 head0.008
GPT teacher head0.178
Teacher spread0.170 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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