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Record W2097829916 · doi:10.1039/b208011g

A new sample introduction system for atomic spectrometry combining vapour generation and nebulization capacities

2002· article· en· W2097829916 on OpenAlex

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

VenueJournal of Analytical Atomic Spectrometry · 2002
Typearticle
Languageen
FieldChemistry
TopicAnalytical chemistry methods development
Canadian institutionsBrock University
Fundersnot available
KeywordsChemistryAnalytical Chemistry (journal)HydrideDetection limitSeparator (oil production)VaporizationChromatographyHydrogen

Abstract

fetched live from OpenAlex

The Multimode Sample Introduction System™ (MSIS™, patent pending), a system that combines the benefits of nebulization and vapour generation in a single device, is described. MSIS™ delivers detection limits 10- (for Te at 238.578 nm) to 90-fold (for Sb at 217.582 nm) lower than conventional nebulization for a variety of elements that can be transformed into volatile species by reduction of aqueous ions, in the appropriate oxidation state, with tetrahydroborate(III). The device provides similar sensitivities and significantly improves precision compared with a frit-based gas–liquid separator for hydride-forming elements. In addition, the device minimizes the transfer of solution from the vapour generation process to the excitation source but retains similar efficiency of mass transfer when used for conventional nebulization. MSIS™ can be operated as either a vapour generator or as a conventional spray chamber, separately or simultaneously, while retaining the sensitivity and detection limits of both modes of sample introduction.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.374
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.267
Teacher spread0.234 · 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