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Record W4239487414 · doi:10.1515/iupac.64.0250

Nomenclature, Symbols, Units and Their Usage in Spectrochemical Analysis - XIII. Terms Related to Chemical Vapour Generation

2016· dataset· en· W4239487414 on OpenAlexaff
T. A. M. Ure, L. R. P. Butler, B. V. L’Vov, I. Rubeska, R. Sturgeon

Bibliographic record

VenueIUPAC Standards Online · 2016
Typedataset
Languageen
FieldChemistry
TopicAnalytical chemistry methods development
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsHydrideMercury (programming language)TerminologyHalogenChemistryExcitationAnalytical Chemistry (journal)HalideEnvironmental chemistryHydrogenInorganic chemistryComputer scienceOrganic chemistryEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

The terms required for the description of chemical vapour generating systems and processes used for the introduction of sample material in optical atomic spectrometry are prescribed. The terms include those relevant to the generation of volatile halides, mercury vapour and the halogens for determination by such spectrochemical techniques. The terminology recommended embraces the gas flow systems involved and the sampling and excitation sources used, in particular, with hydride generation techniques. An index of terms is included.

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)0.002
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.106
Threshold uncertainty score0.355

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0100.021
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1060.128

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 head0.019
GPT teacher head0.368
Teacher spread0.349 · 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 designNot applicable
Domainnot available
GenreDataset

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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Same venueIUPAC Standards OnlineSame topicAnalytical chemistry methods developmentFrench-language works237,207