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Record W2268441888

Applicability of a delta portable XRF spectrometer for determining geochemistry of glacial sediment samples collected in the Canadian Western Arctic

2016· article· en· W2268441888 on OpenAlexaboutno aff
Malcolm Nicol

Bibliographic record

VenueVIUSpace (Vancouver Island University Library) · 2016
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDeltaArcticGlacial periodSedimentGeologyPhysical geographyThe arcticEnvironmental scienceOceanographyGeochemistryRemote sensingEarth scienceGeographyGeomorphologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

The performance of Royal Roads University's Delta Premium DP 6000 portable X-ray fluorescence spectrometer (Delta pXRF), specifically its accuracy and precision, was assessed on two certified standards for select elements. The Delta pXRF was shown to be precise for most elements. Its accuracy was shown to be inconsistent between the two standards, demonstrating the influence matrix effects have on the device's accuracy. The Delta pXRF was also used to analyze 20 glacial sediment samples from the Canadian Western Arctic for select elements. The results were compared with three conventional laboratory digestion methods. Comparison showed the Delta pXRF produced results most similar to total and near-total laboratory digestion methods. Many elements that differed from the laboratory results were shown to be suitable for recalibration. If its limitations are thoroughly understood, the Delta pXRF is a useful tool for guiding cost-effective geochemistry field programs focused on determining the geochemistry of glacial sediments.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.898
Threshold uncertainty score0.797

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)0.0000.000

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 head0.008
GPT teacher head0.180
Teacher spread0.172 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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