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Record W2081301432 · doi:10.1039/b109471h

Determination of As, Bi and Se in acidified slurries of marine sediment, soil and coal samples by hydride generation electrothermal atomic absorption spectrometry

2002· article· en· W2081301432 on OpenAlexfundno aff
Jorge Moreda–Piñeiro, Purificación López‐Mahía, Soledad Muniategui‐Lorenzo, E. Fernández‐Fernández, D. Prada-Rodrı́guez

Bibliographic record

VenueJournal of Analytical Atomic Spectrometry · 2002
Typearticle
Languageen
FieldChemistry
TopicAnalytical chemistry methods development
Canadian institutionsnot available
FundersNational Research Council Canada
KeywordsSlurryCertified reference materialsSedimentHydrideChemistryAtomic absorption spectroscopyFly ashGraphite furnace atomic absorptionCoalGraphiteAnalytical Chemistry (journal)Mass spectrometryEnvironmental chemistryEnvironmental scienceChromatographyDetection limitGeologyEnvironmental engineering

Abstract

fetched live from OpenAlex

Ir-treated graphite tubes were used for preconcentration and atomisation of the As, Bi and Se hydrides generated from acidified slurries of marine sediment, soil and coal samples. A batch mode generation system was used for the hydride generation. The variables affecting the acidified slurry preparation procedure (assisted by ultrasonic energy) and the hydride generation/trapping/atomisation processes were studied by using a Plackett–Burman design. The sensitivity (characteristic masses of 65, 75 and 100 pg, for As, Bi and Se, respectively) and precision (RSD% lower than 10%) obtained were adequate for As, Bi and Se determination in slurry samples. The accuracy of the method was verified by analysing PACS-1 (Marine Sediment), GBW-07401 (Soil) and NIST SRM 1632c (Coal) certified reference materials.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.025
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.274
Teacher spread0.251 · 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 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

Citations19
Published2002
Admission routes1
Has abstractyes

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