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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 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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.737

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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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