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Record W224242198 · doi:10.1021/bk-2003-0835.ch021

Determination of Stable Mercury Isotopes by ICP/MS and Their Application in Environmental Studies

2002· book-chapter· en· W224242198 on OpenAlex
Holger Hintelmann, Nives Ogrinc

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

VenueACS symposium series · 2002
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsTrent University
Fundersnot available
KeywordsMercury (programming language)Inductively coupled plasma mass spectrometryIsotopeIsotope dilutionMethylmercuryChemistryStable isotope ratioInductively coupled plasmaTRACEREnvironmental chemistryMass spectrometryAnalytical Chemistry (journal)RadiochemistryPlasmaChromatographyComputer scienceNuclear physicsPhysicsBioaccumulation

Abstract

fetched live from OpenAlex

Inductively coupled plasma mass spectrometry (ICP/MS) is a powerful tool for mercury determinations. Introducing mercury in form of gaseous species into a dry plasma greatly reduces memory effects, achieving absolute detection limits of less than 100 pg of Hg. The capability of ICP/MS to take advantage of speciated isotope dilution methods makes this technique suitable for very precise and accurate measurements. Equally important, multiple stable tracer experiments to study the fate of Hg species in the environment become possible. This novel concept allows the investigation of multiple transformation processes simultaneously. However, since isotope enrichments are often well below 100 %, a system of linear equations must be solved to exactly calculate individual isotope concentrations. This paper describes the necessary calculations and demonstrates how stable isotopes improve methylmercury measurements.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.792
Threshold uncertainty score1.000

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 studies0.0000.001
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 head0.013
GPT teacher head0.222
Teacher spread0.209 · 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